| DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation | ✓ Link | 56.8 | DHR (Swin-L, Mask2Former) | 2024-03-30 |
| Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation | ✓ Link | 56.1 | SemPLeS (Swin-L) | 2024-01-22 |
| An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems | ✓ Link | 55.6 | WSSS-SAM(DeepLabV2-ResNet101) | 2023-05-02 |
| Foundation Model Assisted Weakly Supervised Semantic Segmentation | ✓ Link | 55.4 | FMA-WSSS (Swin-L) | 2023-12-06 |
| Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation | ✓ Link | 53.7 | CoSA (SWIN-B, multi-stage) | 2024-02-27 |
| Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation | ✓ Link | 51.1 | CoSA (ViT-B, single-stage) | 2024-02-27 |
| WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation | ✓ Link | 50.3 | WeakTr (ViT-S, multi-stage) | 2023-04-03 |
| MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation | ✓ Link | 49.4 | MARS (ResNet-101, multi-stage) | 2023-04-19 |
| WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation | ✓ Link | 46.9 | WeakTr (DeiT-S, multi-stage) | 2023-04-03 |
| RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks | ✓ Link | 46.4 | RS+EPM (ResNet-101, multi-stage) | 2022-04-14 |
| From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models | ✓ Link | 45.7 | T2MDiffusion(DeepLabV2-ResNet101) | 2023-09-08 |
| Fine-grained Background Representation for Weakly Supervised Semantic Segmentation | ✓ Link | 45.6 | FBR | 2024-06-22 |
| CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation | ✓ Link | 45.4 | CLIP-ES(DeepLabV2-ResNet101) | 2022-12-16 |
| Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor | ✓ Link | 45.3 | ACR(DeeplabV1-ResNet38) | 2023-01-01 |
| Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation | ✓ Link | 45.1 | BECO(DeepLabV3Plus+R101) | 2023-01-01 |
| Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation | ✓ Link | 45.0 | ViT-PCM | 2022-10-31 |
| All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation | ✓ Link | 45.0 | ACR-WSSS(DeepLabV2-ResNet101) | 2023-08-08 |
| Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds | ✓ Link | 44.7 | AMN (DeepLabV2-ResNet101) | 2022-03-30 |
| L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation | ✓ Link | 44.2 | L2G (DeepLabV2-ResNet101) | 2022-04-07 |
| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | ✓ Link | 43.8 | RIB (DeepLabV2-ResNet101, No Saliency) | 2021-10-13 |
| Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation | ✓ Link | 43.6 | SIPE(ResNet-38, no saliency, no RW) | 2022-03-06 |
| RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks | ✓ Link | 42.2 | RS+EPM (ResNet-50, single-stage) | 2022-04-14 |
| Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation | ✓ Link | 41.8 | ClusterCAM | 2024-01-05 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 41.5 | URN(Res2Net-101, no saliency, no RW) | 2021-12-14 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 40.8 | URN(ScaleNet-101, no saliency, no RW) | 2021-12-14 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 40.7 | URN(ResNet-101, no saliency, no RW) | 2021-12-14 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 40.5 | URN(ResNet-38, no saliency, no RW) | 2021-12-14 |
| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation | ✓ Link | 40.2 | PMM(ScaleNet101, no saliency, no RW) | 2021-08-30 |
| Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers | ✓ Link | 38.9 | AFA | 2022-03-05 |
| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation | ✓ Link | 36.7 | PMM(ResNet38, no saliency, no RW) | 2021-08-30 |
| Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation | ✓ Link | 36.4 | OC-CSE(ResNet38, no saliency, no RW) | 2021-01-01 |
| Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling | ✓ Link | 36.2 | VWL-L | 2022-02-10 |
| Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling | ✓ Link | 36.1 | VWL-M | 2022-02-10 |
| Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation | ✓ Link | 35.7 | EPS | 2021-05-19 |
| Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation | ✓ Link | 35.0 | SLRNet | 2022-03-19 |
| Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation | ✓ Link | 33.6 | SGAN | 2019-10-12 |
| Causal Intervention for Weakly-Supervised Semantic Segmentation | | 33.4 | IRNet+CONTA | 2020-09-26 |
| Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation | ✓ Link | 28.4 | GroupWSSS | 2020-12-09 |
| Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing | ✓ Link | 26.0 | DSRG | 2018-06-01 |