Referring Image Segmentation on RefCOCO easy (test A)
78.27oIoUMagNet+
Evaluation results
| Method | Links | |
|---|---|---|
| MagNet+Backbone=Swin-B, Training Setting=Multiple Datasets2023.12 | 78.27 | |
| MagNetBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 78.24 | |
| CoupAlignBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 77.76 | |
| PVDBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 77.11 | |
| MCRESBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 76.98 | |
| PolyFormerBackbone=Swin-B, Training Setting=Multiple Datasets2023.12 | 76.64 | |
| LISA-7BBackbone=SAM-H, Training Setting=Multiple Datasets2023.12 | 76.5 | |
| ReLABackbone=Swin-B, Training Setting=Single Dataset2023.12 | 76.48 | |
| SADLRBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 76.25 | |
| LAVTBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 75.82 | |
| CRISBackbone=ResNet-101, Training Setting=Single Dataset2023.12 | 73.18 | |
| ReSTRBackbone=ViT-B-16, Training Setting=Single Dataset2023.12 | 69.3 | |
| VLTBackbone=Darknet-53, Training Setting=Single Dataset2023.12 | 68.29 |