TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/HPT++

HPT++

Reported on 15 benchmarks across 1 task · 1 paper · 1 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 EngineeringonImageNet V2
    Top-1 accuracy %· 2024-08-27
    65.31
    SOTA
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonImageNet-R
    Top-1 accuracy %· 2024-08-27
    77.52
    best: 77.9 (POMP)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonStanford Cars
    Harmonic mean· 2024-08-27
    75.59
    best: 83.13 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonOxford 102 Flower
    Harmonic mean· 2024-08-27
    85.85
    best: 90.24 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonEuroSAT
    Harmonic mean· 2024-08-27
    87.36
    best: 91.94 (MMRL++)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonOxford-IIIT Pet Dataset
    Harmonic mean· 2024-08-27
    96.91
    best: 97.15 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonImageNet-S
    Top-1 accuracy %· 2024-08-27
    49.28
    best: 49.8 (POMP)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonDTD
    Harmonic mean· 2024-08-27
    74.23
    best: 77.94 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonUCF101
    Harmonic mean· 2024-08-27
    83.81
    best: 86.1 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonFood-101
    Harmonic mean· 2024-08-27
    91.09
    best: 93.05 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonCaltech-101
    Harmonic mean· 2024-08-27
    96.96
    best: 97.77 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonImageNet
    Harmonic mean· 2024-08-27
    74.24
    best: 77.62 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonFGVC-Aircraft
    Harmonic mean· 2024-08-27
    41.33
    best: 45.17 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonSUN397
    Harmonic mean· 2024-08-27
    81.11
    best: 82.6 (PromptKD)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812
  • Prompt EngineeringonImageNet-A
    Top-1 accuracy %· 2024-08-27
    51.18
    best: 51.6 (POMP)
    HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingarXiv:2408.14812