Referring Expression Segmentation On Refcocog
평가 지표
Overall IoU
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Overall IoU |
|---|---|
| multi-label-cluster-discrimination-for-visual | 79.9 |
| groundhog-grounding-large-language-models-to | 74.1 |
| lavt-language-aware-vision-transformer-for | 61.24 |
| evf-sam-early-vision-language-fusion-for-text | 76.8 |
| universal-segmentation-at-arbitrary | 78.41 |
| densely-connected-parameter-efficient-tuning | 74.6 |
| universal-segmentation-at-arbitrary | 79.27 |
| general-object-foundation-model-for-images | 72.9 |
| polyformer-referring-image-segmentation-as | 69.2 |
| maskris-semantic-distortion-aware-data | 65.55 |
| comprehensive-multi-modal-interactions-for | 49.90 |
| generalized-decoding-for-pixel-image-and | 64.6 |
| mask-grounding-for-referring-image | 65.36 |
| safari-adaptive-sequence-transformer-for | 70.48 |
| vision-language-transformer-and-query | 52.99 |
| vlt-vision-language-transformer-and-query | 63.49 |
| polyformer-referring-image-segmentation-as | 67.76 |
| hyperseg-towards-universal-visual | 79.4 |
| improving-referring-image-segmentation-using | - |
| multi-task-visual-grounding-with-coarse-to | 74.43 |
| maskris-semantic-distortion-aware-data | 69.12 |