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Models/HPT

HPT

Reported on 15 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.

Natural Language Processing15 results

  • Prompt EngineeringonOxford 102 Flower
    Harmonic mean· 2023-12-11
    87.16
    best: 90.24 (PromptKD)
    SOTA
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonUCF101
    Harmonic mean· 2023-12-11
    83.16
    best: 86.1 (PromptKD)
    SOTA
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonCaltech-101
    Harmonic mean· 2023-12-11
    96.65
    best: 97.77 (PromptKD)
    SOTA
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonImageNet V2
    Top-1 accuracy %· 2023-12-11
    65.25
    best: 65.31 (HPT++)
    SOTA
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonImageNet-R
    Top-1 accuracy %· 2023-12-11
    77.38
    best: 77.9 (POMP)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonStanford Cars
    Harmonic mean· 2023-12-11
    75.57
    best: 83.13 (PromptKD)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonEuroSAT
    Harmonic mean· 2023-12-11
    84.82
    best: 91.94 (MMRL++)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonOxford-IIIT Pet Dataset
    Harmonic mean· 2023-12-11
    96.71
    best: 97.15 (PromptKD)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonImageNet-S
    Top-1 accuracy %· 2023-12-11
    49.36
    best: 49.8 (POMP)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonDTD
    Harmonic mean· 2023-12-11
    72.16
    best: 77.94 (PromptKD)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonFood-101
    Harmonic mean· 2023-12-11
    91.01
    best: 93.05 (PromptKD)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonImageNet
    Harmonic mean· 2023-12-11
    74.17
    best: 77.62 (PromptKD)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonFGVC-Aircraft
    Harmonic mean· 2023-12-11
    40.28
    best: 45.17 (PromptKD)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonSUN397
    Harmonic mean· 2023-12-11
    80.88
    best: 82.6 (PromptKD)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323
  • Prompt EngineeringonImageNet-A
    Top-1 accuracy %· 2023-12-11
    50.85
    best: 51.6 (POMP)
    Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsarXiv:2312.06323