Open Vocabulary Semantic Segmentation On 3
評価指標
mIoU
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | mIoU |
|---|---|
| open-vocabulary-panoptic-segmentation-with-1 | 11.1 |
| open-vocabulary-semantic-segmentation-with-4 | 13.7 |
| maskclip-a-mask-based-clip-fine-tuning | 16.8 |
| cat-seg-cost-aggregation-for-open-vocabulary | 16.0 |
| side-adapter-network-for-open-vocabulary | 13.7 |
| open-vocabulary-panoptic-segmentation-with | 8.2 |
| silc-improving-vision-language-pretraining | 15.0 |
| sed-a-simple-encoder-decoder-for-open | 13.9 |
| 2112-14757 | 7 |
| convolutions-die-hard-open-vocabulary-1 | 14.8 |
| open-vocabulary-segmentation-with-semantic | 14.0 |
| collaborative-vision-text-representation | 15.1 |
| open-vocabulary-semantic-segmentation-with | 9 |
| learning-mask-aware-clip-representations-for | 12.1 |
| mask-adapter-the-devil-is-in-the-masks-for | 16.2 |
| possam-panoptic-open-vocabulary-segment-1 | 14.9 |
| clipself-vision-transformer-distills-itself | 12.4 |