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Models/DUET (Ours)

DUET (Ours)

Reported on 8 benchmarks across 1 task · 1 paper · 4 SOTA

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

Methodology8 results

Zero-Shot LearningonAwA2
Accuracy Seen· 2022-07-04
84.7
SOTA
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonSUN Attribute
Accuracy Seen· 2022-07-04
45.8
SOTA
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonSUN Attribute
Accuracy Unseen· 2022-07-04
45.7
SOTA
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonSUN Attribute
H· 2022-07-04
45.8
SOTA
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonAwA2
Accuracy Unseen· 2022-07-04
63.7
best: 65.4 (WGAN+ZLAP)
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonAwA2
H· 2022-07-04
72.7
best: 72.8 (WGAN+ZLAP)
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonAwA2
average top-1 classification accuracy· 2022-07-04
69.9
best: 86.4 (ZeroDiff)
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonSUN Attribute
average top-1 classification accuracy· 2022-07-04
64.4
best: 77.3 (ZeroDiff)
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328