Referring Expression Segmentation On
Metrics
Mean IoU
Pr@0.5
Pr@0.7
Pr@0.9
Results
Performance results of various models on this benchmark
Model Name | Mean IoU | Pr@0.5 | Pr@0.7 | Pr@0.9 | Paper Title | Repository |
|---|---|---|---|---|---|---|
| HULANet | 41.3 | 42.9 | 27.8 | 5.9 | PhraseCut: Language-based Image Segmentation in the Wild | |
| GLIPv2 | 61.3 | - | - | - | GLIPv2: Unifying Localization and Vision-Language Understanding | |
| RMI | 21.1 | 22 | 11.6 | 1.5 | PhraseCut: Language-based Image Segmentation in the Wild | |
| GROUNDHOG | 54.5 | - | - | - | GROUNDHOG: Grounding Large Language Models to Holistic Segmentation | - |
| MDETR ENB3 | 53.7 | 57.5 | 39.9 | 11.9 | MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding | |
| MattNet | 20.2 | 19.7 | 13.5 | 3 | PhraseCut: Language-based Image Segmentation in the Wild |
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