| EPS(DeepLabV2-ResNet101) |
- Mean IoU
- 70.9
|
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation 2021-05-19 |
코드 1 |
| Infer-CAM(DeepLabV2-ResNet101) |
- Mean IoU
- 70.8
|
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation 2021-10-27 |
코드 1 |
| VWL-L (EMANet) |
- Mean IoU
- 70.8
|
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling 2022-02-10 |
코드 1 |
| AMN (DeepLabV2-ResNet101, MS-COCO-pretrained weights) |
- Mean IoU
- 70.7
|
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds 2022-03-30 |
코드 1 |
| W-OoD (WResNet-38) |
- Mean IoU
- 70.7
|
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data 2022-03-08 |
코드 1 |
| VWL-L |
- Mean IoU
- 70.6
|
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling 2022-02-10 |
코드 1 |
| VWL-M |
- Mean IoU
- 70.6
|
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling 2022-02-10 |
코드 1 |
| ISIM (ResNet-101) |
- Mean IoU
- 70.51
|
ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation 2022-11-22 |
코드 1 |
| DRS (DeepLabV2-R101) |
- Mean IoU
- 70.4
|
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation 2021-03-12 |
코드 1 |
| ViT-PCM |
- Mean IoU
- 70.3
|
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation 2022-10-31 |
코드 1 |
| ClusterCAM |
- Mean IoU
- 70.3
|
Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation 2024-01-05 |
코드 1 |
| RIB+Sal (DeepLabV2-ResNet101) |
- Mean IoU
- 70.2
|
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation 2021-10-13 |
코드 1 |
| URN(ScaleNet-101, no saliency, no RW) |
- Mean IoU
- 70.1
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| ICAM |
- Mean IoU
- 70.1
|
Importance Sampling CAMs for Weakly-Supervised Segmentation 2022-03-23 |
코드 1 |
| PMM(Res2Net101, no saliency, no RW) |
- Mean IoU
- 70.0
|
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation 2021-08-30 |
코드 1 · 코드 2 |
| URN(ResNet-101, no saliency, no RW) |
- Mean IoU
- 69.5
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| AMN (DeepLabV2-ResNet101) |
- Mean IoU
- 69.5
|
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
- 69.5
|
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 |
| LIID (Res2Net-101) |
- Mean IoU
- 69.4
|
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation 2020-09-10 |
코드 1 |
| URN(ResNet-38, no saliency, no RW) |
- Mean IoU
- 69.4
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| SLRNet |
- Mean IoU
- 69.3
|
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation 2022-03-19 |
코드 1 |
| SIPE (DeepLabV2-ResNet101, no saliency) |
- Mean IoU
- 68.8
|
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation 2022-03-06 |
코드 1 |
| WSGCN (MS-COCO-pre-trained weights) |
- Mean IoU
- 68.7
|
Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks 2021-03-31 |
코드 1 |
| PMM(ResNet38) |
- Mean IoU
- 68.5
|
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation 2021-08-30 |
코드 1 · 코드 2 |
| PMM(ResNet38, no saliency, no RW) |
- Mean IoU
- 68.5
|
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation 2021-08-30 |
코드 1 · 코드 2 |
| OC-CSE(ResNet38,no saliency) |
- Mean IoU
- 68.4
|
Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation 2021-01-01 |
코드 1 |
| RIB (DeepLabV2-ResNet101) |
- Mean IoU
- 68.3
|
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation 2021-10-13 |
코드 1 |
| GroupWSSS |
- Mean IoU
- 68.2
|
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation 2020-12-09 |
코드 1 |
| AdvCAM (DeepLabV2-ResNet101) |
- Mean IoU
- 68.1
|
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation 2021-03-16 |
코드 1 |
| LIID (ResNet-101, +24K SI) |
- Mean IoU
- 67.8
|
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation 2020-09-10 |
코드 1 |