Referring Image Segmentation on RefCOCO easy (val)
76.55oIoUMagNet+
Evaluation Results
| Method | Links | |
|---|---|---|
| MagNet+Backbone=Swin-B, Training Setting=Multiple Datasets2023.12 | 76.55 | |
| MagNetBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 75.24 | |
| MCRESBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 74.92 | |
| PVDBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 74.82 | |
| PolyFormerBackbone=Swin-B, Training Setting=Multiple Datasets2023.12 | 74.82 | |
| CoupAlignBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 74.7 | |
| SADLRBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 74.24 | |
| LISA-7BBackbone=SAM-H, Training Setting=Multiple Datasets2023.12 | 74.1 | |
| ReLABackbone=Swin-B, Training Setting=Single Dataset2023.12 | 73.82 | |
| VPDBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 73.46 | |
| LAVTBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 72.73 | |
| CRISBackbone=ResNet-101, Training Setting=Single Dataset2023.12 | 70.47 | |
| ReSTRBackbone=ViT-B-16, Training Setting=Single Dataset2023.12 | 67.22 | |
| VLTBackbone=Darknet-53, Training Setting=Single Dataset2023.12 | 65.65 |