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Models/CAV-MAE (Audio-Visual)

CAV-MAE (Audio-Visual)

Reported on 7 benchmarks across 4 tasks · 1 paper · 7 SOTA

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

Audio3 results

Audio ClassificationonAudioSet
Test mAP· uses extra data· 2022-10-02
0.512
best: 0.558 (OmniVec2)
SOTA
Contrastive Audio-Visual Masked Autoencoder arXiv:2210.07839
Audio ClassificationonVGGSound
Top 1 Accuracy· uses extra data· 2022-10-02
65.9
best: 69.8 (Mirasol3B)
SOTA
Contrastive Audio-Visual Masked Autoencoder arXiv:2210.07839
Audio TaggingonAudioSet
mean average precision· uses extra data· 2022-10-02
0.512
SOTA
Contrastive Audio-Visual Masked Autoencoder arXiv:2210.07839

Methodology3 results

ClassificationonAudioSet
Test mAP· uses extra data· 2022-10-02
0.512
best: 0.558 (OmniVec2)
SOTA
Contrastive Audio-Visual Masked Autoencoder arXiv:2210.07839
ClassificationonVGGSound
Top 1 Accuracy· uses extra data· 2022-10-02
65.9
best: 69.8 (Mirasol3B)
SOTA
Contrastive Audio-Visual Masked Autoencoder arXiv:2210.07839
ClassificationonVGG-Sound
Top-1 Accuracy· uses extra data· 2022-10-02
65.9
best: 66.2 (MMT)
SOTA
Contrastive Audio-Visual Masked Autoencoder arXiv:2210.07839

Miscellaneous1 result

Multi-modal ClassificationonVGG-Sound
Top-1 Accuracy· uses extra data· 2022-10-02
65.9
best: 66.2 (MMT)
SOTA
Contrastive Audio-Visual Masked Autoencoder arXiv:2210.07839