Weakly Supervised Semantic Segmentation On 14
Metrics
Mean IoU
Results
Performance results of various models on this benchmark
Model Name | Mean IoU | Paper Title | Repository |
|---|---|---|---|
| FBR | 75.9 | Fine-grained Background Representation for Weakly Supervised Semantic Segmentation | - |
| FMA-WSSS | 80.4 | Foundation Model Assisted Weakly Supervised Semantic Segmentation | |
| ViT-PCM | 71.4 | Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation | |
| WeakTr (DeiT-S, single-stage) | 76.5 | WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation |
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