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Models/CoCoOp

CoCoOp

Reported on 14 benchmarks across 1 task · 1 paper · 13 SOTA

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

Natural Language Processing14 results

Prompt EngineeringonStanford Cars
Harmonic mean· 2022-03-10
72.01
best: 83.13 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonOxford 102 Flower
Harmonic mean· 2022-03-10
81.71
best: 90.24 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonEuroSAT
Harmonic mean· 2022-03-10
71.21
best: 91.94 (MMRL++)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonOxford-IIIT Pet Dataset
Harmonic mean· 2022-03-10
96.43
best: 97.15 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonImageNet-S
Top-1 accuracy %· 2022-03-10
48.75
best: 49.8 (POMP)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonDTD
Harmonic mean· 2022-03-10
64.85
best: 77.94 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonUCF101
Harmonic mean· 2022-03-10
77.64
best: 86.1 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonFood-101
Harmonic mean· 2022-03-10
90.99
best: 93.05 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonCaltech-101
Harmonic mean· 2022-03-10
95.84
best: 97.77 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonImageNet
Harmonic mean· 2022-03-10
73.1
best: 77.62 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonSUN397
Harmonic mean· 2022-03-10
78.27
best: 82.6 (PromptKD)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonImageNet-A
Top-1 accuracy %· 2022-03-10
50.63
best: 51.6 (POMP)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonImageNet V2
Top-1 accuracy %· 2022-03-10
64.07
best: 65.31 (HPT++)
SOTA
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557
Prompt EngineeringonFGVC-Aircraft
Harmonic mean· 2022-03-10
27.74
best: 45.17 (PromptKD)
Conditional Prompt Learning for Vision-Language Models arXiv:2203.05557