| DHR (Swin-L, Mask2Former) |
- mIoU
- 56.8
|
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation 2024-03-30 |
코드 1 |
| SemPLeS (Swin-L) |
- mIoU
- 56.1
|
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation 2024-01-22 |
코드 1 |
| WSSS-SAM(DeepLabV2-ResNet101) |
- mIoU
- 55.6
|
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems 2023-05-02 |
코드 1 |
| FMA-WSSS (Swin-L) |
- mIoU
- 55.4
|
Foundation Model Assisted Weakly Supervised Semantic Segmentation 2023-12-06 |
코드 1 |
| CoSA (SWIN-B, multi-stage) |
- mIoU
- 53.7
|
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation 2024-02-27 |
코드 1 |
| CoSA (ViT-B, single-stage) |
- mIoU
- 51.1
|
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation 2024-02-27 |
코드 1 |
| WeakTr (ViT-S, multi-stage) |
- mIoU
- 50.3
|
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation 2023-04-03 |
코드 1 |
| MARS (ResNet-101, multi-stage) |
- mIoU
- 49.4
|
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation 2023-04-19 |
코드 1 |
| WeakTr (DeiT-S, multi-stage) |
- mIoU
- 46.9
|
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation 2023-04-03 |
코드 1 |
| RS+EPM (ResNet-101, multi-stage) |
- mIoU
- 46.4
|
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 |
| T2MDiffusion(DeepLabV2-ResNet101) |
- mIoU
- 45.7
|
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models 2023-09-08 |
코드 1 |
| FBR |
- mIoU
- 45.6
|
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation 2024-06-22 |
코드 1 |
| CLIP-ES(DeepLabV2-ResNet101) |
- mIoU
- 45.4
|
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation 2022-12-16 |
코드 1 |
| ACR(DeeplabV1-ResNet38) |
- mIoU
- 45.3
|
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor 2023-01-01 |
코드 1 |
| BECO(DeepLabV3Plus+R101) |
- mIoU
- 45.1
|
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation 2023-01-01 |
코드 1 |
| ViT-PCM |
- mIoU
- 45.0
|
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation 2022-10-31 |
코드 1 |
| ACR-WSSS(DeepLabV2-ResNet101) |
- mIoU
- 45.0
|
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation 2023-08-08 |
코드 1 |
| AMN (DeepLabV2-ResNet101) |
- mIoU
- 44.7
|
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds 2022-03-30 |
코드 1 |
| L2G (DeepLabV2-ResNet101) |
- mIoU
- 44.2
|
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation 2022-04-07 |
코드 1 |
| RIB (DeepLabV2-ResNet101, No Saliency) |
- mIoU
- 43.8
|
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation 2021-10-13 |
코드 1 |
| SIPE(ResNet-38, no saliency, no RW) |
- mIoU
- 43.6
|
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation 2022-03-06 |
코드 1 |
| RS+EPM (ResNet-50, single-stage) |
- mIoU
- 42.2
|
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 |
| ClusterCAM |
- mIoU
- 41.8
|
Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation 2024-01-05 |
코드 1 |
| URN(Res2Net-101, no saliency, no RW) |
- mIoU
- 41.5
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| URN(ScaleNet-101, no saliency, no RW) |
- mIoU
- 40.8
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| URN(ResNet-101, no saliency, no RW) |
- mIoU
- 40.7
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| URN(ResNet-38, no saliency, no RW) |
- mIoU
- 40.5
|
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation 2021-12-14 |
코드 1 |
| PMM(ScaleNet101, no saliency, no RW) |
- mIoU
- 40.2
|
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation 2021-08-30 |
코드 1 · 코드 2 |
| AFA |
- mIoU
- 38.9
|
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers 2022-03-05 |
코드 1 · 코드 2 |
| PMM(ResNet38, no saliency, no RW) |
- mIoU
- 36.7
|
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation 2021-08-30 |
코드 1 · 코드 2 |