Referring Image Segmentation on RefCOCO easy (test B)
72.15oIoUMagNet+
Evaluation results
| Method | Links | |
|---|---|---|
| MagNet+Backbone=Swin-B, Training Setting=Multiple Datasets2023.12 | 72.15 | |
| LISA-7BBackbone=SAM-H, Training Setting=Multiple Datasets2023.12 | 71.1 | |
| PolyFormerBackbone=Swin-B, Training Setting=Multiple Datasets2023.12 | 71.06 | |
| MagNetBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 71.05 | |
| MCRESBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 70.84 | |
| CoupAlignBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 70.58 | |
| ReLABackbone=Swin-B, Training Setting=Single Dataset2023.12 | 70.18 | |
| SADLRBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 70.06 | |
| PVDBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 69.52 | |
| LAVTBackbone=Swin-B, Training Setting=Single Dataset2023.12 | 68.79 | |
| CRISBackbone=ResNet-101, Training Setting=Single Dataset2023.12 | 66.1 | |
| ReSTRBackbone=ViT-B-16, Training Setting=Single Dataset2023.12 | 64.45 | |
| VLTBackbone=Darknet-53, Training Setting=Single Dataset2023.12 | 62.73 |