| ACR-WSSS(DeepLabV2-ResNet101) |
- Mean IoU
- 70.9
|
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation 2023-08-08 |
코드 1 |
| EPS(DeepLabV2-ResNet101) |
- Mean IoU
- 70.8
|
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation 2021-05-19 |
코드 1 |
| URN(ScaleNet-101, no saliency, no RW) |
- Mean IoU
- 70.8
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| ICAM |
- Mean IoU
- 70.8
|
Importance Sampling CAMs for Weakly-Supervised Segmentation 2022-03-23 |
코드 1 |
| DRS (DeepLabV2-R101) |
- Mean IoU
- 70.7
|
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation 2021-03-12 |
코드 1 |
| VWL-L |
- Mean IoU
- 70.7
|
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling 2022-02-10 |
코드 1 |
| ClusterCAM |
- Mean IoU
- 70.7
|
Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation 2024-01-05 |
코드 1 |
| URN(ResNet-38, no saliency, no RW) |
- Mean IoU
- 70.6
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| AMN (DeepLabV2-ResNet101, MS-COCO-pretrained weights) |
- Mean IoU
- 70.6
|
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds 2022-03-30 |
코드 1 |
| RS+EPM (ResNet-50, single-stage) |
- Mean IoU
- 70.6
|
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks 2022-04-14 |
코드 1 · 코드 2 |
| PMM(Res2Net101, no saliency, no RW) |
- Mean IoU
- 70.5
|
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation 2021-08-30 |
코드 1 · 코드 2 |
| VWL-M |
- Mean IoU
- 70.4
|
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling 2022-02-10 |
코드 1 |
| W-OoD (WResNet-38) |
- Mean IoU
- 70.1
|
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data 2022-03-08 |
코드 1 |
| RIB+Sal (DeepLabV2-ResNet101) |
- Mean IoU
- 70.0
|
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation 2021-10-13 |
코드 1 |
| URN(ResNet-101, no saliency, no RW) |
- Mean IoU
- 69.7
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| SIPE (DeepLabV2-ResNet101, no saliency) |
- Mean IoU
- 69.7
|
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation 2022-03-06 |
코드 1 |
| AMN (DeepLabV2-ResNet101) |
- Mean IoU
- 69.6
|
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds 2022-03-30 |
코드 1 |
| SLRNet |
- Mean IoU
- 69.4
|
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation 2022-03-19 |
코드 1 |
| WSGCN (MS-COCO-pre-trained weights) |
- Mean IoU
- 69.3
|
Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks 2021-03-31 |
코드 1 |
| PMM(ResNet38, no saliency, no RW) |
- Mean IoU
- 69.0
|
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation 2021-08-30 |
코드 1 · 코드 2 |
| WSGCN (no Saliency map) |
- Mean IoU
- 68.8
|
Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks 2021-03-31 |
코드 1 |
| RIB (DeepLabV2-ResNet101) |
- Mean IoU
- 68.6
|
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation 2021-10-13 |
코드 1 |
| GroupWSSS |
- Mean IoU
- 68.5
|
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation 2020-12-09 |
코드 1 |
| CPN |
- Mean IoU
- 68.5
|
Complementary Patch for Weakly Supervised Semantic Segmentation 2021-08-09 |
코드 1 |
| Puzzle-CAM (ResNeSt-101) |
- Mean IoU
- 67.7
|
Puzzle-CAM: Improved localization via matching partial and full features 2021-01-27 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| SLRNet(1-stage,ResNet38) |
- Mean IoU
- 67.6
|
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation 2022-03-19 |
코드 1 |
| LIID |
- Mean IoU
- 67.5
|
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation 2020-09-10 |
코드 1 |
| SGAN |
- Mean IoU
- 67.2
|
Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation 2019-10-12 |
코드 1 |
| IRNet (ResNet-50) |
- Mean IoU
- 64.8
|
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations 2019-04-10 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |
| EADER |
- Mean IoU
- 63.8
|
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation 2020-11-09 |
코드 1 |