Semantic Segmentation on Pascal VOC PAS-20 (val)
0.955mIoUSAN
Evaluation Results
| Method | Links | |
|---|---|---|
| SANtraining dataset=COCO Stuff [5]2023.08 | 0.955 | |
| SAN2024.03 | 0.955 | |
| FC-CLIPtraining dataset=COCO Panoptic2023.08 | 0.954 | |
| PSALMzero-shot=true, additional_training_data=LVIS2024.03 | 0.95 | |
| OVSegtraining dataset=COCO Stuff [5]2023.08 | 0.945 | |
| AttrSegTraining Data=COCO-Stuff, Backbone=RN101, Textual Input Setting=attributes2023.08 | 0.916 | |
| CAT-SegTraining Data=COCO-Stuff, Backbone=RN101, Textual Input Setting=attributes2023.08 | 0.909 | |
| OVSegTraining Data=COCO-Stuff, Backbone=RN101, Textual Input Setting=attributes2023.08 | 0.903 | |
| ZegformerTraining Data=COCO-Stuff, Backbone=RN101, Textual Input Setting=attributes2023.08 | 0.837 | |
| PSALMzero-shot=true2024.03 | 0.813 | |
| GroupViTtraining dataset=GCC [75]+YFCC [79]2023.08 | 0.523 | |
| AttrSegTraining Data=PASCAL VOC-15, Backbone=RN101, Textual Input Setting=attributes2023.08 | 0.491 | |
| FusionerTraining Data=PASCAL VOC-15, Backbone=RN101, Textual Input Setting=attributes2023.08 | 0.443 | |
| LSegTraining Data=PASCAL VOC-15, Backbone=RN101, Textual Input Setting=attributes2023.08 | 0.44 | |
| ZS3Nettraining dataset=Pascal VOC [27]2023.08 | 0.383 | |
| SPNettraining dataset=Pascal VOC [27]2023.08 | 0.183 |