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Models/LMPT(ViT-B/16)

LMPT(ViT-B/16)

Reported on 10 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Methodology6 results

Generalized Few-Shot ClassificationonCOCO-MLT
Average mAP· uses extra data· 2023-05-08
66.19
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536
Generalized Few-Shot ClassificationonVOC-MLT
Average mAP· uses extra data· 2023-05-08
87.88
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536
Long-tail LearningonCOCO-MLT
Average mAP· uses extra data· 2023-05-08
66.19
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536
Long-tail LearningonVOC-MLT
Average mAP· uses extra data· 2023-05-08
87.88
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536
Generalized Few-Shot LearningonCOCO-MLT
Average mAP· uses extra data· 2023-05-08
66.19
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536
Generalized Few-Shot LearningonVOC-MLT
Average mAP· uses extra data· 2023-05-08
87.88
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536

Computer Vision4 results

Image ClassificationonCOCO-MLT
Average mAP· uses extra data· 2023-05-08
66.19
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536
Image ClassificationonVOC-MLT
Average mAP· uses extra data· 2023-05-08
87.88
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536
Few-Shot Image ClassificationonCOCO-MLT
Average mAP· uses extra data· 2023-05-08
66.19
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536
Few-Shot Image ClassificationonVOC-MLT
Average mAP· uses extra data· 2023-05-08
87.88
SOTA
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition arXiv:2305.04536