😀Overview

Deep learning papers notes sharing, especially for image forgery detection and localization

Newly added papers will be organized at the top of every category now.

Related

• Datasets Resources

• Nice Expression

• Research Methods (public information summery)

• Paper Resource Links

Basics

• 图像处理基础知识

Backbone

骨干网络，多为图像分类的网络。

• Attention Is All You Need (NeurIPS '17) [Paper] [Code_official] [Code_community]

• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (ICML '19) [Paper] [Code]

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ICLR '21) [Paper] [Code]

• Multi-Dimensional Model Compression of Vision Transformer (ICME '22) [Paper]

• Deep Residual Learning for Image Recognition (CVPR '16) [Paper]

• Generative Adversarial Networks (NeurIPS '14) [Paper]

• Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond (CVPR '23) [Paper]

• A Kernel Perspective of Skip Connections in Convolutional Networks (ICLR '23) [Paper]

• EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention (CVPR '23) [Paper] [Code] [Note_community]

• Vision Transformers Need Registers (ICLR '24) [Paper]

Image Tampering

图像篡改检测定位

Image Editing

2024

• PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning (arXiv '24) [Paper]

• Diffusion models meet image counter-forensics (WACV '24) [Paper] [Code]

• Research about the Ability of LLM in the Tamper-Detection Area (arXiv '24) [Paper]

• Deep Image Composition Meets Image Forgery (arXiv '24) [Paper] [Code]

• Fusion Transformer with Object Mask Guidance for Image Forgery Analysis [Paper]

• Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization (MMM '24)
• A New Benchmark and Model for Challenging Image Manipulation Detection (AAAI '24)
• MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization (AAAI '24) [Paper]
• Learning Discriminative Noise Guidance for Image Forgery Detection and Localization (AAAI '24) [Paper]

• CatmullRom Splines-Based Regression for Image Forgery Localization (AAAI '24) [Paper]

• UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization (CVPR '24)

• Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods (CVPR '24)

• EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection (CVPR '24)
• DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization (CVPR '24)

• IML-ViT: Image Manipulation Localization by Vision Transformer (AAAI '24)
• CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data (arXiv '24)

2023

• A survey on deep learning-based image forgery detection (PR '23) [Paper]

• PL-GNet: Pixel Level Global Network for detection and localization of image forgeries (IMAGE '23)
• Pixel-Inconsistency Modeling for Image Manipulation Localization (arXiv '23) [Paper]

• Progressive Feedback-Enhanced Transformer for Image Forgery Localization (arXiv '23) [Paper] [Code(N/A)]

• Secondary Labeling A Novel Labeling Strategy for Image Manipulation Detection (MM '23) [Paper]

• GP-Net: Image Manipulation Detection and Localization via Long-Range Modeling and Transformers (Appl. Sci. (IF: 2.8, not included in CCFs), MDPI, '23) [Paper]

• DS-Net: Dual supervision neural network for image manipulation localization (IET-IPR '23) [Paper]

• Learning to Immunize Images for Tamper Localization and Self Recovery (TPAMI ‘23) [Paper]

• Semantic-agnostic progressive subtractive network for image manipulation detection and localization (Neurocomputing '23) [Paper]

• Towards Effective Image Manipulation Detection with Proposal Contrastive Learning (TCSVT '23) [Paper] [Code]

• Effective image tampering localization with multi-scale ConvNeXt feature fusion (JVCIR '23) [Paper] [Code]

• Evading Detection Actively: Toward Anti-Forensics against Forgery Localization (arXiv '23) [Paper] [Code]

• ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization (TIFS '23) [Paper] [Code]

• Image manipulation detection by multiple tampering traces and edge artifact enhancement (PR '23) [Paper] (EMT-Net)

• CFL-Net: Image Forgery Localization Using Contrastive Learning (WACV '23) [Paper] [Code]

• TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization (CVPR '23) [Paper] [Project] [Code]

• TBFormer: Two-Branch Transformer for Image Forgery Localization (SPL '23) [Paper] [Code]

• Detecting and Grounding Multi-Modal Media Manipulation (CVPR '23) [Paper] [Code] [Project]

• Hierarchical Fine-Grained Image Forgery Detection and Localization (CVPR '23) [Paper] [Code]

• Edge-aware Regional Message Passing Controller for Image Forgery Localization (CVPR '23) [Paper] [Video]

• AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics (CVPRW '23) [Paper] [Dataset]

• CTP-Net: Character Texture Perception Network for Document Image Forgery Localization (arXiv '23) [Paper]

• TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization (ICCV '23) [Paper] [Code]

• Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning (ICCV '23) [Paper] [Code]

• Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning (ICCV '23) [Paper] [Code] [ResearchGate]

• SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection (ICCV '23) [Paper]

• Uncertainty-guided Learning for Improving Image Manipulation Detection (ICCV '23) [Paper]

• Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering (arXiv '23) [Paper] [Code]

• Pixel-Inconsistency Modeling for Image Manipulation Localization (arXiv '23) [Paper]

• Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features (arXiv '23) [Paper]

• On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics (TIFS '23) (Traditional method, Analysis) [Paper]

2022

• DS-UNet: A dual streams UNet for refined image forgery localization (InfoS '22) [Paper]

• MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization (ArXiv '22) [Paper]

• Towards JPEG-Resistant Image Forgery Detection and Localization Via Self-Supervised Domain Adaptation (TPAMI '22) [Paper]

• ESRNet: Efficient Search and Recognition Network for Image Manipulation Detection (TOMCCAP '22) [Paper] [Tool]

• Learning to localize image forgery using end-to-end attention network (Neurocomputing '22) [Paper] [Code]

• MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection (TPAMI '22) [Paper] [Code]

• Robust Image Forgery Detection Over Online Social Network Shared Images (CVPR '22) [Paper] [Code]

• ObjectFormer for Image Manipulation Detection and Localization (CVPR '22) [Paper]

• GCA-Net: Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection (CVPRW '22) [Paper]

• Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database (WACV '22) [Paper] [Code]

• JPEG Compression-aware Image Forgery Localization (MM '22) [Paper]

• Image Manipulation Localization Using Multi-Scale Feature Fusion and Adaptive Edge Supervision (TMM '22) [Paper]

• PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization (TCSVT '22) [Paper] [Code]

• Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization (TIFS '22) [Paper] [Code] (LocateNet / SATFL)

• M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection (ICMR '22) [Paper] [Code]

• A Principled Design of Image Representation: Towards Forensic Tasks (TPAMI '22) [Paper] [Code]

• TBNet: A Two-stream Boundary-aware Network for Generic Image Manipulation Localization (KDE '22) [Paper]

• Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization (IJCV '22) [Paper] [Code]

• Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection (arXiv '22) (Survey) [Paper]

2021

• MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-Scale Self-Texture Attention (TCSVT '21) [Paper]

• Image Manipulation Detection by Multi-View Multi-Scale Supervision (ICCV '21) [Paper] [Code]

• TransForensics: Image Forgery Localization with Dense Self-Attention (ICCV '21) [Paper]

• Self-supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images (ICCV '21) [Paper]

• Image Tampering Localization Using a Dense Fully Convolutional Network (TIFS '21) [Paper] [Code] (DenseFCN)

• Image Manipulation Localization Using Attentional Cross-Domain CNN Features (TNNLS '21) [Paper]

2020 and before

• A Full-Image Full-Resolution End-to-EndTrainable CNN Framework for Image Forgery Detection (IEEE Access '20) **[Paper]

• Constrained R-CNN: A general image manipulation detection model [Paper] [Code]
• A CNNBased Camera Model Fingerprint (TIFS '20) **[Paper]

• An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics (CVPR '20) [Paper] [Code]

• A dense u-net with cross-layer intersection for detection and localization of image forgery (ICASSP '20) [Paper] [Note_unofficial]

• Generate, Segment, and Refine: Towards Generic Manipulation Segmentation (AAAI '20) [Paper] [Code] (GSRNet)

• SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization (ECCV '20) [Paper] [Code]
• Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries (TIP '19) [Paper] [Code]

• ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features (CVPR '19) [Paper] [Code]

CNN-synthesized

Some of the above papers also contain methods to detect tampered images generated by GANs or DMs for synthetic images

• Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection (CVPR '24) [Paper]

• Preserving Fairness Generalization in Deepfake Detection (CVPR '24) [Paper] [Code]

• Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection (arXiv '24) [Paper] [Code]

• Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection (arXiv '23) [Paper]

• AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors (arXiv '23) [Paper] [Code]

• MaLP: Manipulation Localization Using a Proactive Scheme (CVPR '23) [Paper] [Code]

• Discrepancy-Guided Reconstruction Learning for Image Forgery Detection (IJCAI '23) [Paper] [Code]

• Generalizable Synthetic Image Detection via Language-guided Contrastive Learning (arXiv '23) [Paper] [Code]

• Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization (arXiv '23) [Paper] [Code]

• Discrepancy-Guided Reconstruction Learning for Image Forgery Detection (arXiv '23) [Paper]

• Masked Relation Learning for DeepFake Detection (TIFS '23) [Paper]

Image Splicing

图像的拼接篡改检测定位

2024

• Feature Aggregation and Region-Aware Learning for Detection of Splicing Forgery (SPL '24) [Paper]

• Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset (arXiv '24) [Paper]

2023

• GreatSplicing: A Semantically Rich Splicing Dataset (arXiv '23) [Paper] [Dataset]

• Multi-scale attention context-aware network for detection and localization of image splicing: Efficient and robust identification network (Appl. Intell. 23') [Paper]

• A Multi-Stream Fusion Network for Image Splicing Localization (MMM '23) [Paper]

• Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces (TIFS '23) [Paper] [IEEE Paper]

• Biomedical Image Splicing Detection using Uncertainty-Guided Refinement (arXiv '23) [Paper]

• A New Method to Detect Splicing Image Forgery Using Convolutional Neural Network (Applied Science (IF: 2.8, not included in CCFs), MDPI, '23) [Paper]

• Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization (MM '23) [Paper]

2022

• Multi-Task SE-Network for Image Splicing Localization (TCSVT '22) [Paper] [Code]

• ET: Edge-Enhanced Transformer for Image Splicing Detection (SPL '22) [Paper]

• Image splicing forgery detection by combining synthetic adversarial networks and hybrid dense U-net based on multiple spaces (IJIS '22) [Paper] [Code]

• SISL:Self-Supervised Image Signature Learning for Splicing Detection & Localization (CVPRW '22) [Paper]

• Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images (TIFS '22) [Paper]

• Coarse-to-fine-grained method for image splicing region detection (PR '22) [Paper]

2021

• CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing (WACV '21) [Paper] [Code]

• Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering (TIFS '21) [Paper] [Code]

• Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing (Data, MDPI '21) [Paper]

• Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization (ICCV '21) [Paper]

• Multi-Task Wavelet Corrected Network for Image Splicing Forgery Detection and Localization (ICME '21) [Paper]

• Detection and Localization of Multiple Image Splicing Using MobileNet V1 (IEEE Access '21) [Paper]

2020 and before

• D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization (arXiv '20) [Paper]

• Exposing splicing forgery in realistic scenes using deep fusion network (InfoS '20) [Paper]

• Locating splicing forgery by adaptive-SVD noise estimation and vicinity noise descriptor (Neurocomputing '20) [Paper]

• Adversarial Learning for Constrained Image Splicing Detection and Localization Based on Atrous Convolution (TIFS '19) [Paper] [Code]

• RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection (CVPRW' 19) [Paper] [Code]

• Mixed adversarial generators for image splice detection (NeuIPS '19) [Paper] [Code]

• Image Splicing Localization via Semi-global Network and Fully Connected Conditional Random Fields (ECCV '18)

• Image splicing localization using a multi-task fully convolutional network (mfcn) (JVCIR '18) [Paper] [Code]

• Fighting Fake News: Image Splice Detection via Learned Self-Consistency (ECCV '18) [Paper] [Code]

• Deep Fusion Network for Splicing Forgery Localization (ECCV '18)

• Deep matching and validation network: An end-to-end solution to constrained image splicing localization and detection (MM '17) [Paper]

Image Harmonization

图像协调化

• Toward Realistic Image Compositing with Adversarial Learning (CVPR '19) [Paper] [Code_unofficial]

• Image Harmonization with Transformer (ICCV '21) [Paper]

• SSH: A Self-Supervised Framework for Image Harmonization (ICCV '21) [Paper] [Code]

• Image Harmonization with Region-wise Contrastive Learning (ArXiv '22) [Paper]

• Harmonizer: Learning to Perform White-Box Image and Video Harmonization (ECCV '22) [Paper] [Code]

• Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization (ECCV '22) [Paper] [Code]

• High-Resolution Image Harmonization via Collaborative Dual Transformations (CVPR '22) [Paper] [Code_unofficial]

• SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization (CVPR '22) [Paper] [Code]

• PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations (CVPR '23)

• Semi-supervised Parametric Real-world Image Harmonization (CVPR '23) [Paper] [Code] [Project]

• LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization(CVPR '23) [Paper]

• Burstormer: Burst Image Restoration and Enhancement Transformer (CVPR '23) [Paper] [Code]

Face Forgery

人脸篡改，篡改方法以及检测问题

• MCS-GAN: A Different Understanding for Generalization of Deep Forgery Detection (TMM '23) [Paper]

• Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection (AAAI '24) [Paper] [Code]

• Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking (CVPR '24)

• Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection (CVPR '24) [Paper]

• Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection (ICLR '24) [Paper] [Code]

• Improving Fairness in Deepfake Detection (WACV '24) [Paper] [Code]

• Weakly-Supervised Deepfake Localization in Diffusion-Generated Images (WACV '24) [Paper] [Code]

• Controllable Guide-Space for Generalizable Face Forgery Detection (ICCV '23) [Paper]

• RAIRNet: Region-Aware Identity Rectification for Face Forgery Detection (MM '23) [Paper]

• Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation (ICCV '23) [Paper] [Code]

• UCF: Uncovering Common Features for Generalizable Deepfake Detection (ICCV '23) [Paper]

• Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection (TIP '23) [Paper] [Code]

• Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection (arXiv '23') [Paper]

• Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection (arXiv '23') [Paper]

• AUNet: Learning Relations Between Action Units for Face Forgery Detection (CVPR '23) [Paper]

• AltFreezing for More General Face Forgery Detection (CVPR '23) [Paper] **[Code]88

• $F^2$Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection (TIFS '23) [Paper]

• On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics (TIFS '23) [Paper]

• Multimodaltrace: Deepfake Detection Using Audiovisual Representation Learning (CVPRW '23) [Paper]

• MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection (KBS '22) [Paper]

• Multi-Scale Wavelet Transformer for Face Forgery Detection (ACCV '22) [Paper]

• Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection (CVPR '22) [Paper] [Code]

• SSTNet: Detecting Manipulated Faces Through Spatial, Steganalysis and Temporal Features (ICASSP '20) [Paper]

• Portrait shadow manipulation (ACM MM / TOG '20) [Paper] [Code]

Copy Move

复制移动篡改定位问题

• Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining (arXiv '24) [Paper]

• UCM-Net: A U-Net-Like Tampered-Region-Related Framework for Copy-Move Forgery Detection (TMM '24) [Paper]

• An effective image copy-move forgery detection using entropy image (arXiv '23) [Paper]

• CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning (arXiv '23) [Paper]

• An approach for copy-move image multiple forgery detection based on an optimized pre-trained deep learning model (KBS '23) [Paper]

• Image Copy-Move Forgery Detection via Deep Cross-Scale PatchMatch (ICME '23) [Paper]

• BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization (ECCV '18) [Paper] [Code]

• A Serial Image Copy-Move Forgery Localization Scheme With Source/Target Distinguishment (TMM '20) [Paper] [Code]

• DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization (CVPR '20) [Paper] [Code]

• Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue (TIP '22) [Paper]

• QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method (Neurocomputing '22) [Paper] [Code]

• Shrinking the Semantic Gap: Spatial Pooling of Local Moment Invariants for Copy-Move Forgery Detection (TIFS '23) [Paper] [Code]

Tamper Text in Detection

图像中的文本篡改检测问题 (parts of)

• A Two-Stage Dual-Path Framework for Text Tampering Detection and Recognition (arXiv '24) [Paper]

• Toward Real Text Manipulation Detection: New Dataset and New Solution (arXiv '23) [Paper] [Code]

• Towards Robust Tampered Text Detection in Document Image: New dataset and New Solution (CVPR '23) [Paper] [Code]

• Progressive Supervision for Tampering Localization in Document Images (ICONIP '23) [Paper]

• SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment (arXiv '23) [Paper]

• Image Generation and Learning Strategy for Deep Document Forgery Detection (arXiv '23) [Paper]

• Forgery-free signature verification with stroke-aware cycle-consistent generative adversarial network (Neurocomputing '22) [Paper] [Code]

• Document Forgery Detection in the Context of Double JPEG Compression (ICPR '22) [Paper]

Low Level Vision

Related resources:

• https://github.com/Kobaayyy/Awesome-ICCV2021-Low-Level-Vision

• https://github.com/lcybuzz/Low-Level-Vision-Paper-Record

Low-level tasks include super-resolution, denoise, dehze, low-light enhancement, etc. High-level tasks include classification, detection, segmentation, etc. segmentation, and so on. However, the ones I have listed here are probably still mainly related to tampering detection.

Testing the new layout of paper title.

📖Paper, 👨‍💻Code, 📦Dataset, 🔗Other links, 📜News,

*Equal contribution. #Corresponding author.

• (EVP) Explicit Visual Prompting for Low-Level Structure Segmentations (CVPR '23) 📖, 👨‍💻 (including defocus blur, shadow, forgery, camouflaged dection)

  Weihuang Liu1, Xi Shen2, Chi-Man Pun#,1, Xiaodong Cun#,2

  1University of Macau 2Tencent AI Lab

• SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device (ICCV '23) 📖, 👨‍💻

  Weiran Gou∗1,2, Ziyao Yi∗1,2, Yan Xiang1,2, Shaoqing Li1,2, Zibin Liu1,2, Dehui Kong1,2, Ke Xu#1,2

  1State Key Laboratory of Mobile Network and Mobile Multimedia Technology, 2Sanechips Technology, Chengdu, China

• Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision (ICLR '24_) 📖, 👨‍💻

  Haoning Wu1*, Zicheng Zhang2*, Erli Zhang1*, Chaofeng Chen1, Liang Liao1, Annan Wang1, Chunyi Li2, Wenxiu Sun3, Qiong Yan3, Guangtao Zhai2, Weisi Lin1#

  1Nanyang Technological University, 2Shanghai Jiaotong University, 3Sensetime Research

Image Matching

特征匹配，图像匹配问题。

• FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer(arXiv '23) [Paper]

• LoFTR: Detector-Free Local Matching with Transformers (CVPR '21) [Paper] [Code]

• PATS: Patch Area Transportation with Subdivision for Local Feature Matching (CVPR '23) [Paper] [Code] [Project]

• Adaptive Spot-Guided Transformer for Consistent Local Feature Matching (CVPR '23) [Paper] [Code] [Project]

• ObjectMatch: Robust Registration using Canonical Object Correspondences (CVPR '23) [Paper] [Code] [Project]

Object Detection

目标检测，包括伪装物体目标检测和突出目标检测，COD以及SOD。

• HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping (AAAI '24) [Paper]

• Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection (CVPR '24)

• VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning (CVPR '24) [Paper]

• Weakly Supervised Open-Vocabulary Object Detection (AAAI '24) [Paper]

• OTA: Optimal Transport Assignment for Object Detection (CVPR '21) [Paper] [Code]

• Consistency-basd Active Learning for Object Detection (CVPRW '22) [Paper] [Code]

• Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection (CVPR '22) [Paper] [Code]

• Unsupervised Object Localization: Observing the Background to Discover Objects (CVPR '23) [Paper] [Code]

• Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction (CVPR '23) [Paper] [Code]

• Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers (CVPR '23) [Paper] [Code]

• Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection (IJCAI '23) [Paper]

• Spatial-Aware Token for Weakly Supervised Object Localization (ICCV '23) [Paper] [Code]

• Generative Prompt Model for Weakly Supervised Object Localization (ICCV '23) [Paper] [Code]

• Category-aware Allocation Transformer for Weakly Supervised Object Localization (ICCV '23) [Paper]

Semantic Segmentation

语义分割，将图片中完整语义（具有标签或者类别）的部分分割出来。不仅要进行目标检测检测到图像中的物体，还需要对每个像素分类。

• Generative Semantic Segmentation (CVPR '23) [Paper] [Code]

• EfficientViT: Lightweight Multi-Scale Attention for On-Device Semantic Segmentation [Paper] [Code]

• CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation [Paper] [Code] [Project] [Note_community**]

Anomaly Detection

异常检测，通常用于发现与正常模式或预期模式不符的图像与视频。

• Contextual Affinity Distillation for Image Anomaly Detection (WACV '24) [Paper]

• PromptAD: Zero-Shot Anomaly Detection Using Text Prompts (WACV '24) [Paper]

• Holistic Representation Learning for Multitask Trajectory Anomaly Detection (WACV '24) [Paper] [Code]

Useful Links

1. CVPR 2024 Accepted Papers https://cvpr2023.thecvf.com/Conferences/2024/AcceptedPapers

2. ICLR 2024 Papers List https://openreview.net/group?id=ICLR.cc/2024/Conference

3. WACV 2024 Papers https://openaccess.thecvf.com/WACV2024

4. MM 2023 Proceedings https://dl.acm.org/doi/proceedings/10.1145/3581783

5. ICML 2023 https://dblp.org/db/conf/icml/icml2023.html

6. ICCV 2023 Paper List https://huggingface.co/spaces/ICCV2023/ICCV2023-papers

7. IJCAI 2023 Accepted Papers List https://ijcai-23.org/main-track-accepted-papers/

8. AAAI 2023 https://dblp.org/db/conf/aaai/aaai2023.html

9. ECCV 2022 Accepted papers https://eccv2022.ecva.net/program/accepted-papers/

10. SIGGRAPH unofficial https://kesen.realtimerendering.com/ eg SIGGRAPH 2023 https://kesen.realtimerendering.com/sig2023.html

11. TIFS https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10206

12. More...

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