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Models/DenseAV

DenseAV

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical4 results

Semantic SegmentationonADE20K
mAP· 2024-06-09
48.7
SOTA
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language arXiv:2406.05629
Semantic SegmentationonADE20K
mIoU· 2024-06-09
36.8
best: 45.7 (MBS)
SOTA
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language arXiv:2406.05629
Semantic SegmentationonADE20K
mAP· 2024-06-09
32.7
best: 48.7
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language arXiv:2406.05629
Semantic SegmentationonADE20K
mIoU· 2024-06-09
24.7
best: 45.7 (MBS)
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language arXiv:2406.05629

Audio4 results

10-shot image generationonADE20K
mAP· 2024-06-09
48.7
SOTA
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language arXiv:2406.05629
10-shot image generationonADE20K
mIoU· 2024-06-09
36.8
best: 45.7 (MBS)
SOTA
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language arXiv:2406.05629
10-shot image generationonADE20K
mAP· 2024-06-09
32.7
best: 48.7
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language arXiv:2406.05629
10-shot image generationonADE20K
mIoU· 2024-06-09
24.7
best: 45.7 (MBS)
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language arXiv:2406.05629