| Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation | ✓ Link | 82.9 | SemPLeS (Swin-L) | 2024-01-22 |
| DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation | ✓ Link | 82.3 | DHR (Swin-L, Mask2Former) | 2024-03-30 |
| Foundation Model Assisted Weakly Supervised Semantic Segmentation | ✓ Link | 81.6 | FMA-WSSS (Swin-L) | 2023-12-06 |
| WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation | ✓ Link | 79.0 | WeakTr (ViT-S, multi-stage) | 2023-04-03 |
| MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation | ✓ Link | 77.2 | MARS (ResNet-101, multi-stage) | 2023-04-19 |
| An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems | ✓ Link | 77.1 | WSSS-SAM(DeepLabV2-ResNet101) | 2023-05-02 |
| Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation | ✓ Link | 75.5 | QA-CLIMS | 2024-01-18 |
| ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation | ✓ Link | 74.98 | ISIM (ResNeSt-200) | 2022-11-22 |
| Fine-grained Background Representation for Weakly Supervised Semantic Segmentation | ✓ Link | 74.9 | FBR | 2024-06-22 |
| Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation | ✓ Link | 74.5 | HSC | 2023-08-01 |
| From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models | ✓ Link | 74.2 | T2MDiffusion(DeepLabV2-ResNet101) | 2023-09-08 |
| WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation | ✓ Link | 74.1 | WeakTr (DeiT-S, multi-stage) | 2023-04-03 |
| CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation | ✓ Link | 73.9 | CLIP-ES(DeepLabV2-ResNet101) | 2022-12-16 |
| RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks | ✓ Link | 73.6 | RS+EPM (ResNet-101, multi-stage) | 2022-04-14 |
| Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast | ✓ Link | 73.5 | PPC (w/ EPS) | 2021-10-14 |
| Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation | ✓ Link | 73.5 | BECO(DeepLabV3Plus+MiT-B2) | 2023-01-01 |
| L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation | ✓ Link | 73.0 | L2G (ResNet101, DeepLab-LargeFOV) | 2022-04-07 |
| Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation | ✓ Link | 72.9 | ORANDNet | 2024-06-28 |
| Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation | ✓ Link | 72.8 | RCA | 2022-03-17 |
| SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation | ✓ Link | 72.5 | SFC(ResNet-101) | 2024-01-22 |
| GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation | ✓ Link | 72.3 | GETAM(vitb-hybrid) | 2021-12-06 |
| Puzzle-CAM: Improved localization via matching partial and full features | ✓ Link | 72.2 | Puzzle-CAM (ResNeSt-269) | 2021-01-27 |
| Adaptive Early-Learning Correction for Segmentation from Noisy Annotations | ✓ Link | 72.0 | ADELE (DeepLabV1-ResNet38) | 2021-10-07 |
| Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation | ✓ Link | 71.8 | EPS(DeepLabV1-ResNet101 | 2021-05-19 |
| Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation | ✓ Link | 71.8 | Infer-CAM(DeepLabV2-R101) | 2021-10-27 |
| Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning | ✓ Link | 71.6 | SPML (DeepLabV2-R101) | 2021-05-03 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 71.5 | URN(Res2Net-101, no saliency, no RW) | 2021-12-14 |
| ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation | ✓ Link | 71.45 | ISIM (ResNet-101) | 2022-11-22 |
| Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling | ✓ Link | 71.1 | VWL-L (EMANet) | 2022-02-10 |
| Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation | ✓ Link | 70.9 | ViT-PCM | 2022-10-31 |
| All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation | ✓ Link | 70.9 | ACR-WSSS(DeepLabV2-ResNet101) | 2023-08-08 |
| Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation | ✓ Link | 70.8 | EPS(DeepLabV2-ResNet101) | 2021-05-19 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 70.8 | URN(ScaleNet-101, no saliency, no RW) | 2021-12-14 |
| Importance Sampling CAMs for Weakly-Supervised Segmentation | ✓ Link | 70.8 | ICAM | 2022-03-23 |
| Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation | ✓ Link | 70.7 | DRS (DeepLabV2-R101) | 2021-03-12 |
| Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling | ✓ Link | 70.7 | VWL-L | 2022-02-10 |
| Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation | ✓ Link | 70.7 | ClusterCAM | 2024-01-05 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 70.6 | URN(ResNet-38, no saliency, no RW) | 2021-12-14 |
| Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds | ✓ Link | 70.6 | AMN (DeepLabV2-ResNet101, MS-COCO-pretrained weights) | 2022-03-30 |
| RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks | ✓ Link | 70.6 | RS+EPM (ResNet-50, single-stage) | 2022-04-14 |
| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation | ✓ Link | 70.5 | PMM(Res2Net101, no saliency, no RW) | 2021-08-30 |
| Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling | ✓ Link | 70.4 | VWL-M | 2022-02-10 |
| Weakly Supervised Semantic Segmentation using Out-of-Distribution Data | ✓ Link | 70.1 | W-OoD (WResNet-38) | 2022-03-08 |
| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | ✓ Link | 70.0 | RIB+Sal (DeepLabV2-ResNet101) | 2021-10-13 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 69.7 | URN(ResNet-101, no saliency, no RW) | 2021-12-14 |
| Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation | ✓ Link | 69.7 | SIPE (DeepLabV2-ResNet101, no saliency) | 2022-03-06 |
| Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds | ✓ Link | 69.6 | AMN (DeepLabV2-ResNet101) | 2022-03-30 |
| Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation | ✓ Link | 69.4 | SLRNet | 2022-03-19 |
| Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks | ✓ Link | 69.3 | WSGCN (MS-COCO-pre-trained weights) | 2021-03-31 |
| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation | ✓ Link | 69.0 | PMM(ResNet38, no saliency, no RW) | 2021-08-30 |
| Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks | ✓ Link | 68.8 | WSGCN (no Saliency map) | 2021-03-31 |
| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | ✓ Link | 68.6 | RIB (DeepLabV2-ResNet101) | 2021-10-13 |
| Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation | ✓ Link | 68.5 | GroupWSSS | 2020-12-09 |
| Complementary Patch for Weakly Supervised Semantic Segmentation | ✓ Link | 68.5 | CPN | 2021-08-09 |
| Puzzle-CAM: Improved localization via matching partial and full features | ✓ Link | 67.7 | Puzzle-CAM (ResNeSt-101) | 2021-01-27 |
| Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation | ✓ Link | 67.6 | SLRNet(1-stage,ResNet38) | 2022-03-19 |
| Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation | ✓ Link | 67.5 | LIID | 2020-09-10 |
| Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation | ✓ Link | 67.2 | SGAN | 2019-10-12 |
| Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations | ✓ Link | 64.8 | IRNet (ResNet-50) | 2019-04-10 |
| Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation | ✓ Link | 63.8 | EADER | 2020-11-09 |