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Models/MANet

MANet

Reported on 8 benchmarks across 4 tasks · 1 paper · 4 SOTA

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

Robots2 results

  • Activity RecognitiononMA-52
    F1_mean· 2024-03-08
    65.59
    best: 69.97 (PCAN)
    SOTA
    Benchmarking Micro-action Recognition: Dataset, Methods, and ApplicationsarXiv:2403.05234
  • Activity RecognitiononMA-52
    Top-1 Acc [Action]· 2024-03-08
    61.32
    best: 66.74 (PCAN)
    SOTA
    Benchmarking Micro-action Recognition: Dataset, Methods, and ApplicationsarXiv:2403.05234

Time Series2 results

  • Action RecognitiononMA-52
    F1_mean· 2024-03-08
    65.59
    best: 69.97 (PCAN)
    SOTA
    Benchmarking Micro-action Recognition: Dataset, Methods, and ApplicationsarXiv:2403.05234
  • Action RecognitiononMA-52
    Top-1 Acc [Action]· 2024-03-08
    61.32
    best: 66.74 (PCAN)
    SOTA
    Benchmarking Micro-action Recognition: Dataset, Methods, and ApplicationsarXiv:2403.05234

Medical2 results

  • Semantic SegmentationonISPRS Vaihingen
    Overall Accuracy
    90.963
    best: 93.6 (LSKNet-S)
  • Semantic SegmentationonISPRS Potsdam
    Overall Accuracy· uses extra data
    91.318
    best: 93.9 (AerialFormer-B)

Audio2 results

  • 10-shot image generationonISPRS Vaihingen
    Overall Accuracy
    90.963
    best: 93.6 (LSKNet-S)
  • 10-shot image generationonISPRS Potsdam
    Overall Accuracy· uses extra data
    91.318
    best: 93.9 (AerialFormer-B)