Open World Instance Segmentation On Uvo
Metrics
ARmask
Results
Performance results of various models on this benchmark
Model Name | ARmask | Paper Title | Repository |
|---|---|---|---|
| ODISE | 57.7 | Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models | |
| GLEE-Pro | 72.6 | General Object Foundation Model for Images and Videos at Scale |
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