Semantic Correspondence On Pf Willow
المقاييس
PCK
النتائج
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اسم النموذج | PCK | Paper Title | Repository |
|---|---|---|---|
| SCOT | 78.1 | Semantic Correspondence as an Optimal Transport Problem | |
| DHPF | 77.6 | Learning to Compose Hypercolumns for Visual Correspondence | - |
| CHM | 79.4 | Convolutional Hough Matching Networks | - |
| HPF | 76.3 | Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features | - |
| VAT | 81.0 | Cost Aggregation Is All You Need for Few-Shot Segmentation | - |
| LDMCorrespondences | 84.3 | Unsupervised Semantic Correspondence Using Stable Diffusion | - |
| CATs | 79.2 | CATs: Cost Aggregation Transformers for Visual Correspondence | - |
| VAT (ECCV) | 81.6 | Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation | - |
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