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Instance Segmentation On Coco Val Panoptic
Metrics
AP
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| OneFormer (InternImage-H, emb_dim=1024, single-scale) | 52.0 | OneFormer: One Transformer to Rule Universal Image Segmentation | |
| OneFormer (DiNAT-L, single-scale) | 49.2 | OneFormer: One Transformer to Rule Universal Image Segmentation | |
| Mask2Former (Swin-L, single-scale) | 49.1 | Masked-attention Mask Transformer for Universal Image Segmentation | |
| OneFormer (Swin-L, single-scale) | 49.0 | OneFormer: One Transformer to Rule Universal Image Segmentation |
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