Referring Image Segmentation on RefCOCO+ medium (test A)
73.64oIoUMagNet+
Evaluation Results
| Method | Links | |
|---|---|---|
| MagNet+Backbone=Swin-B, Training Setting=Multiple Datasets2023.12 | 73.64 | |
| PolyFormerBackbone=Swin-B, Training Setting=Multiple Datasets2023.12 | 72.89 | |
| MagNetBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 71.32 | |
| ReLABackbone=Swin-B, Training Setting=Single Dataset2023.12 | 71.02 | |
| MCRESBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 69.68 | |
| SADLRBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 69.09 | |
| PVDBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 68.6 | |
| LAVTBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 68.38 | |
| CoupAlignBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 68.34 | |
| CRISBackbone=ResNet-101, Training Setting=Single Dataset2023.12 | 68.08 | |
| LISA-7BBackbone=SAM-H, Training Setting=Multiple Datasets2023.12 | 67.4 | |
| ReSTRBackbone=ViT-B-16, Training Setting=Single Dataset2023.12 | 60.44 | |
| VLTBackbone=Darknet-53, Training Setting=Single Dataset2023.12 | 59.2 |