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Personalized Segmentation On Perseg
Metrics
mIoU
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| P^2SAM | 95.66 | Part-aware Prompted Segment Anything Model for Adaptive Segmentation | |
| PerSAM-F | 95.33 | Personalize Segment Anything Model with One Shot | |
| PerSAM | 89.32 | Personalize Segment Anything Model with One Shot | |
| SEEM | 80.50 | - | - |
| Visual Prompting | 65.88 | Visual Prompting via Image Inpainting | |
| Painter | 56.35 | Images Speak in Images: A Generalist Painter for In-Context Visual Learning |
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