| Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation | ✓ Link | 83.4 | SemPLeS (Swin-L) | 2024-01-22 |
| Foundation Model Assisted Weakly Supervised Semantic Segmentation | ✓ Link | 82.6 | FMA-WSSS (Swin-L) | 2023-12-06 |
| 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 |
| Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation | ✓ Link | 81.4 | CoSA (SWIN-B, multi-stage) | 2024-02-27 |
| WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation | ✓ Link | 78.4 | WeakTr (ViT-S, multi-stage) | 2023-04-03 |
| MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation | ✓ Link | 77.7 | 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 | 77.2 | WSSS-SAM(ResNet-101, multi-stage) | 2023-05-02 |
| Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation | ✓ Link | 76.4 | CoSA (ViT-B, single-stage) | 2024-02-27 |
| Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation | ✓ Link | 75.6 | QA-CLIMS | 2024-01-18 |
| ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation | ✓ Link | 74.90 | ISIM (ResNeSt-200) | 2022-11-22 |
| RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks | ✓ Link | 74.4 | RS+EPM (ResNet-101, multi-stage) | 2022-04-14 |
| Fine-grained Background Representation for Weakly Supervised Semantic Segmentation | ✓ Link | 74.2 | FBR | 2024-06-22 |
| WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation | ✓ Link | 74.0 | WeakTr (DeiT-S, multi-stage) | 2023-04-03 |
| CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation | ✓ Link | 73.8 | CLIP-ES(DeepLabV2-ResNet101) | 2022-12-16 |
| Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation | ✓ Link | 73.7 | BECO(DeepLabV3Plus+MiT-B2) | 2023-01-01 |
| From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models | ✓ Link | 73.3 | T2MDiffusion(DeepLabV2-ResNet101) | 2023-09-08 |
| Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast | ✓ Link | 72.3 | PPC (w/ EPS) | 2021-10-14 |
| Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation | ✓ Link | 72.2 | RCA | 2022-03-17 |
| Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation | ✓ Link | 72.2 | ORANDNet | 2024-06-28 |
| L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation | ✓ Link | 72.1 | L2G (ResNet101, DeepLab-v2) | 2022-04-07 |
| Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation | ✓ Link | 72.1 | BECO(DeepLabV3Plus+R101) | 2023-01-01 |
| Puzzle-CAM: Improved localization via matching partial and full features | ✓ Link | 71.9 | Puzzle-CAM (ResNeSt-269) | 2021-01-27 |
| Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor | ✓ Link | 71.9 | ACR (DeepLabV1-ResNet38) | 2023-01-01 |
| GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation | ✓ Link | 71.7 | GETAM(vit-hybrid) | 2021-12-06 |
| Adaptive Early-Learning Correction for Segmentation from Noisy Annotations | ✓ Link | 71.6 | ADELE (DeepLabV1-ResNet38) | 2021-10-07 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 71.2 | URN(Res2Net-101, no saliency, no RW) | 2021-12-14 |
| SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation | ✓ Link | 71.2 | SFC(ResNet-101) | 2024-01-22 |
| All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation | ✓ Link | 71.2 | ACR-WSSS(DeepLabV1-ResNet101) | 2023-08-08 |
| Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation | ✓ Link | 71.0 | EPS(DeepLabV1-ResNet101) | 2021-05-19 |
| Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation | ✓ Link | 71.0 | DRS (DeepLabV3Plus+R101) | 2021-03-12 |
| Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation | ✓ Link | 70.9 | EPS(DeepLabV2-ResNet101) | 2021-05-19 |
| Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation | ✓ Link | 70.8 | Infer-CAM(DeepLabV2-ResNet101) | 2021-10-27 |
| Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling | ✓ Link | 70.8 | VWL-L (EMANet) | 2022-02-10 |
| Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds | ✓ Link | 70.7 | AMN (DeepLabV2-ResNet101, MS-COCO-pretrained weights) | 2022-03-30 |
| Weakly Supervised Semantic Segmentation using Out-of-Distribution Data | ✓ Link | 70.7 | W-OoD (WResNet-38) | 2022-03-08 |
| Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling | ✓ Link | 70.6 | VWL-L | 2022-02-10 |
| Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling | ✓ Link | 70.6 | VWL-M | 2022-02-10 |
| ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation | ✓ Link | 70.51 | ISIM (ResNet-101) | 2022-11-22 |
| Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation | ✓ Link | 70.4 | DRS (DeepLabV2-R101) | 2021-03-12 |
| Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation | ✓ Link | 70.3 | ViT-PCM | 2022-10-31 |
| Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation | ✓ Link | 70.3 | ClusterCAM | 2024-01-05 |
| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | ✓ Link | 70.2 | RIB+Sal (DeepLabV2-ResNet101) | 2021-10-13 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 70.1 | URN(ScaleNet-101, no saliency, no RW) | 2021-12-14 |
| Importance Sampling CAMs for Weakly-Supervised Segmentation | ✓ Link | 70.1 | ICAM | 2022-03-23 |
| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation | ✓ Link | 70.0 | PMM(Res2Net101, no saliency, no RW) | 2021-08-30 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 69.5 | URN(ResNet-101, no saliency, no RW) | 2021-12-14 |
| Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds | ✓ Link | 69.5 | AMN (DeepLabV2-ResNet101) | 2022-03-30 |
| RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks | ✓ Link | 69.5 | RS+EPM (ResNet-50, single-stage) | 2022-04-14 |
| Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation | ✓ Link | 69.4 | LIID (Res2Net-101) | 2020-09-10 |
| Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation | ✓ Link | 69.4 | URN(ResNet-38, no saliency, no RW) | 2021-12-14 |
| Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation | ✓ Link | 69.3 | SLRNet | 2022-03-19 |
| Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation | ✓ Link | 68.8 | SIPE (DeepLabV2-ResNet101, no saliency) | 2022-03-06 |
| Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks | ✓ Link | 68.7 | WSGCN (MS-COCO-pre-trained weights) | 2021-03-31 |
| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation | ✓ Link | 68.5 | PMM(ResNet38) | 2021-08-30 |
| Pseudo-mask Matters in Weakly-supervised Semantic Segmentation | ✓ Link | 68.5 | 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 | 68.4 | OC-CSE(ResNet38,no saliency) | 2021-01-01 |
| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | ✓ Link | 68.3 | RIB (DeepLabV2-ResNet101) | 2021-10-13 |
| Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation | ✓ Link | 68.2 | GroupWSSS | 2020-12-09 |
| Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation | ✓ Link | 68.1 | AdvCAM (DeepLabV2-ResNet101) | 2021-03-16 |
| Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation | ✓ Link | 67.8 | LIID (ResNet-101, +24K SI) | 2020-09-10 |
| Complementary Patch for Weakly Supervised Semantic Segmentation | ✓ Link | 67.8 | CPN | 2021-08-09 |
| Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation | ✓ Link | 67.2 | SLRNet(1-stage) | 2022-03-19 |
| Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation | ✓ Link | 67.1 | SGAN | 2019-10-12 |
| Puzzle-CAM: Improved localization via matching partial and full features | ✓ Link | 66.9 | Puzzle-CAM (ResNeSt-101) | 2021-01-27 |
| Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks | ✓ Link | 66.7 | WSGCN (no Saliency map) | 2021-03-31 |
| Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation | ✓ Link | 66.5 | LIID (ResNet-101) | 2020-09-10 |
| Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation | ✓ Link | 66.2 | ResNet-101 | 2020-07-03 |
| Weakly-Supervised Semantic Segmentation via Sub-category Exploration | ✓ Link | 66.1 | SC-CAM-ResNet-101 | 2020-08-03 |
| Causal Intervention for Weakly-Supervised Semantic Segmentation | | 66.1 | SEAM+CONTA | 2020-09-26 |
| Integral Object Mining via Online Attention Accumulation | ✓ Link | 65.2 | OAA+ | 2019-10-01 |
| Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation | ✓ Link | 64.5 | SEAM-ResNet-38 | 2020-04-09 |
| Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation | ✓ Link | 64.1 | ICD-ResNet-101 | 2020-06-01 |
| Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations | ✓ Link | 63.5 | IRNet (ResNet-50) | 2019-04-10 |