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Models/CJME

CJME

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

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

Methodology6 results

Zero-Shot LearningonActivityNet-GZSL(main)
HM· 2019-10-19
5.12
best: 19.67 (KDA)
SOTA
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos arXiv:1910.08732
Zero-Shot LearningonActivityNet-GZSL(main)
ZSL· 2019-10-19
5.84
best: 14 (KDA)
SOTA
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos arXiv:1910.08732
Zero-Shot LearningonVGGSound-GZSL(main)
HM· 2019-10-19
6.17
best: 10.45 (KDA)
SOTA
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos arXiv:1910.08732
Zero-Shot LearningonVGGSound-GZSL(main)
ZSL· 2019-10-19
5.16
best: 8.43 (KDA)
SOTA
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos arXiv:1910.08732
Zero-Shot LearningonUCF-GZSL(main)
HM· 2019-10-19
12.48
best: 41.1 (KDA)
SOTA
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos arXiv:1910.08732
Zero-Shot LearningonUCF-GZSL(main)
ZSL· 2019-10-19
8.29
best: 28.05 (KDA)
SOTA
Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos arXiv:1910.08732