VLPrompt (R50)

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Scene ParsingonPSG Dataset
mR@20· 2023-11-27
34.7
SOTA
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation arXiv:2311.16492
Scene Graph GenerationonPSG Dataset
mR@20· 2023-11-27
34.7
SOTA
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation arXiv:2311.16492
Scene ParsingonPSG Dataset
R@20· 2023-11-27
39.4
best: 40.6 (HiLo(SwinL))
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation arXiv:2311.16492
Scene Graph GenerationonPSG Dataset
R@20· 2023-11-27
39.4
best: 40.6 (HiLo(SwinL))
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation arXiv:2311.16492

Audio2 results

2D Semantic SegmentationonPSG Dataset
mR@20· 2023-11-27
34.7
SOTA
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation arXiv:2311.16492
2D Semantic SegmentationonPSG Dataset
R@20· 2023-11-27
39.4
best: 40.6 (HiLo(SwinL))
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation arXiv:2311.16492