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Models/DUET

DUET

Reported on 7 benchmarks across 2 tasks · 2 papers · 7 SOTA

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

Methodology4 results

Zero-Shot LearningonCUB-200-2011
Accuracy Seen· 2022-07-04
72.8
SOTA
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonCUB-200-2011
Accuracy Unseen· 2022-07-04
62.9
SOTA
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonCUB-200-2011
H· 2022-07-04
67.5
SOTA
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328
Zero-Shot LearningonCUB-200-2011
average top-1 classification accuracy· 2022-07-04
72.3
best: 87.5 (ZeroDiff)
SOTA
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning arXiv:2207.01328

Robots3 results

Visual NavigationonR2R
spl· 2022-02-23
0.58
best: 0.6383 (SUSA)
SOTA
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation arXiv:2202.11742
Visual NavigationonSOON Test
Nav-SPL· 2022-02-23
21.42
best: 27.83 (AutoVLN)
SOTA
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation arXiv:2202.11742
Visual NavigationonSOON Test
SR· 2022-02-23
33.44
best: 40.36 (AutoVLN)
SOTA
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation arXiv:2202.11742