NOTE: If I miss some paper, plese feel free to contact me (pt.jiang at mail.nankai.edu.cn). Feel free to send me a PR!
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation | ExCEL | CVPR | Image | CODE | |
| Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP | VPL | AAAI | Image | CODE |
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Weakly Supervised Semantic Segmentation for Driving Scenes | CARB | AAAI | Image | CODE | |
| Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras | EV-WSSS | ECCV | Event+Point | CODE | |
| Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation | PCSS | ECCV | Image | CODE | |
| DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation | DALNet | ECCV | Image | CODE | |
| Diffusion-Guided Weakly Supervised Semantic Segmentation | DiG | ECCV | Image | CODE | |
| WeakCLIP: Adapting CLIP for Weakly-Supervised Semantic Segmentation | WeakCLIP | IJCV | Image | CODE | |
| Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation | WeClip | CVPR | Image | CODE | |
| CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation | CUTS | MICCAI | Image | CODE | |
| Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation | AGMM++ | arXiv | Image + Point + Scribble | CODE | |
| ToNNO: Tomographic Reconstruction of a Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images | ToNNO | CVPR | Image | CODE | |
| Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation | SeCo | CVPR | Image | CODE | |
| DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation | DuPL | CVPR | Image | CODE | |
| From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation | S2C | CVPR | Image | CODE | |
| Class Tokens Infusion for Weakly Supervised Semantic Segmentation | CTI | CVPR | Image | CODE | |
| Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation | AuxSegNet+ | TNNLS | Image | CODE |
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures | AGMM | CVPR | Scribble | CODE | |
| CUTS: A Framework for Multigranular Unsupervised Medical Image Segmentation | CUTS | arXiv | Image | CODE | |
| Spatial Structure Constraints for Weakly Supervised Semantic Segmentation | SSC | TIP | Image | CODE | |
| Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation | PFSR | AAAI | Image | CODE | |
| Foundation Model Assisted Weakly Supervised Semantic Segmentation | SAMS | arXiv | Image+SAM | CODE | |
| QA-CLIMS: Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation | QA-CLIMS | MM | Image+CLIP | CODE | |
| Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation | D2CAM | ICCV | Image | CODE | |
| MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation | MARS | ICCV | Image | CODE | |
| Boundary-enhanced Co-training for Weakly Supervised Semantic Segmentation | BECO | CVPR | Image | CODE | |
| Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation | OCR | CVPR | Image | CODE | |
| Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor | ACR | CVPR | Image | CODE | |
| Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation | MDBA | TIP | Image | CODE | |
| Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation | SG-WSSS | arXiv | Image + SAM | CODE | |
| Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models | -- | arXiv | Image + SAM | CODE | |
| Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation | -- | arXiv | Image + SAM | CODE | |
| An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems | -- | arXiv | Image + SAM | CODE | |
| Token Contrast for Weakly-Supervised Semantic Segmentation | ToCo | CVPR | Image | CODE | |
| Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization | MMCST | CVPR | Image + CLIP | CODE | |
| Extracting Class Activation Maps from Non-Discriminative Features as well | LPCAM | CVPR | Image | CODE | |
| Boundary-enhanced Co-training for Weakly Supervised Semantic Segmentation | BECO | CVPR | Image | CODE | |
| CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation | CLIP-ES | CVPR | Image + CLIP | CODE | |
| Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation | SCD | AAAI | Image | CODE |
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation | ViT-PCM | ECCV | Image | CODE | |
| Dual Progressive Transformations for Weakly Supervised Semantic Segmentation | arXiv | Image | CODE | ||
| Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation | ESOL | NeurIPS | Image | CODE | |
| Weakly Supervised Semantic Segmentation via Progressive Patch Learning | PPL | TMM | Image | CODE | |
| Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization | AdvCAM | TPAMI | Image | CODE | |
| Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation | I2CRC | TMM | Image | CODE | |
| C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation | C2AM | CVPR | Image | CODE | |
| Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation | SANCE | CVPR | Image | CODE | |
| Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation | SIPE | CVPR | Image | CODE | |
| Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast | PPC | CVPR | Image | CODE | |
| Weakly Supervised Semantic Segmentation using Out-of-Distribution Data | W-OoD | CVPR | Image | CODE | |
| Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation | ReCAM | CVPR | Image | CODE | |
| Multi-class Token Transformer for Weakly Supervised Semantic Segmentation | MCTformer | CVPR | Image | CODE | |
| Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformer | AFA | CVPR | Image | CODE | |
| L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation | L2G | CVPR | Image | CODE | |
| Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds | AMN | CVPR | Image | CODE | |
| Cross Language Image Matching for Weakly Supervised Semantic Segmentation | CLIMS | CVPR | Image+Language | CODE | |
| Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation | RCA | CVPR | Image | CODE | |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | URN | AAAI | Image | CODE | |
| Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning | MCIS | TPAMI | Image | CODE |
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Online Attention Accumulation for Weakly Supervised Semantic Segmentation | OAA | TPAMI | Image | CODE | |
| End-to-end Boundary Exploration for Weakly-supervised Semantic Segmentation | Multimedia | Image | CODE | ||
| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | RIB | NeurIPS | Image | CODE | |
| Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation | OC-CSE | ICCV | Image | CODE | |
| ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps | ECS-Net | ICCV | Image | CODE | |
| Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation | AuxSegNet | ICCV | Image | CODE | |
| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation | PMM | ICCV | Image | CODE | |
| Complementary Patch for Weakly Supervised Semantic Segmentation | ICCV | Image | CODE | ||
| Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation | NSROM | CVPR | Image | CODE | |
| Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation | EPS | CVPR | Image | CODE | |
| Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation | EDAM | CVPR | Image | CODE | |
| Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation | AdvCAM | CVPR | Image & Semi | CODE | |
| BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation | BBAM | CVPR | Box | CODE | |
| Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation | BANA | CVPR | Box | CODE | |
| Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation | DRS | AAAI | Image | CODE | |
| Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation | Group-WSSS | AAAI | Image | CODE | |
| Puzzle-CAM: Improved localization via matching partial and full features | PuzzleCAM | ICIP | Image | CODE | |
| Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation | CDA | arXiv | Image | CODE | |
| Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks | WSGCN | ICME | Image | CODE |
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Causal Intervention for Weakly-Supervised Semantic Segmentation | CONTA | NeurIPS | Image | CODE | |
| Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation | MCIS | ECCV | Image | CODE | |
| Weakly supervised semantic segmentation with boundary exploration | ECCV | Image | CODE | ||
| Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation | ECCV | Image | CODE | ||
| Employing multi-estimations for weakly-supervised semantic segmentation | Multi-Est. | ECCV | Image | CODE | |
| Weakly-Supervised Semantic Segmentation via Sub-category Exploration | SC-CAM | CVPR | Image | CODE | |
| Single-Stage Semantic Segmentation from Image Labels | CVPR | Image | CODE | ||
| Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation | SEAM | CVPR | Image | CODE | |
| Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation | ICD | CVPR | Image | CODE | |
| Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach | AAAI | Image | CODE | ||
| CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation | CIAN | AAAI | Image | CODE | |
| Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning | IJCV | Image | CODE | ||
| Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization | Mixup-CAM | BMVC | Image | CODE | |
| Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation | LIID | TPAMI | Image | CODE |
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation | SSDD | ICCV | Image | CODE | |
| Integral Object Mining via Online Attention Accumulation | OAA | ICCV | Image | CODE | |
| Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations | IRN | CVPR | Image | CODE | |
| Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation | ICCV | Image | CODE | ||
| Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation | SSNet | ICCV | Image | CODE | |
| A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains | IJCV | ~~~~ | CODE |
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing | DSRG | CVPR | Image | CODE | |
| Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation | AffinityNet | CVPR | Image | CODE | |
| Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features | MCOF | CVPR | Image | CODE | |
| Self-Erasing Network for Integral Object Attention | SeeNet | NeurIPS | Image | CODE | |
| Tell me where to look: Guided attention inference network | GAIN | CVPR | Image | CODE |
| Title | Abbreviation | Venue | Supervision | CODE | |
|---|---|---|---|---|---|
| Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach | AE-PSL | CVPR | Image | CODE |