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Models/ACLNet

ACLNet

Reported on 36 benchmarks across 3 tasks · 2 papers · 35 SOTA

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

Medical15 results

  • Semantic SegmentationonSWINySEG
    Average Precision· 2022-07-13
    0.959
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINySEG
    Average Recall· 2022-07-13
    0.979
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINySEG
    F1-Score· 2022-07-13
    0.968
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINySEG
    MCC· 2022-07-13
    0.96
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINySEG
    Mean IoU· 2022-07-13
    0.993
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINSEG
    Average Precision· 2022-07-13
    0.917
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINSEG
    Average Recall· 2022-07-13
    0.982
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINSEG
    F1-Score· 2022-07-13
    0.947
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINSEG
    MCC· 2022-07-13
    0.93
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWINSEG
    Mean IoU· 2022-07-13
    0.985
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWIMSEG
    Average Precision· 2022-07-13
    0.964
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWIMSEG
    Average Recall· 2022-07-13
    0.979
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWIMSEG
    F1-Score· 2022-07-13
    0.971
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWIMSEG
    MCC· 2022-07-13
    0.956
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • Semantic SegmentationonSWIMSEG
    Mean IoU· 2022-07-13
    0.992
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277

Audio15 results

  • 10-shot image generationonSWINySEG
    Average Precision· 2022-07-13
    0.959
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINySEG
    Average Recall· 2022-07-13
    0.979
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINySEG
    F1-Score· 2022-07-13
    0.968
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINySEG
    MCC· 2022-07-13
    0.96
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINySEG
    Mean IoU· 2022-07-13
    0.993
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINSEG
    Average Precision· 2022-07-13
    0.917
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINSEG
    Average Recall· 2022-07-13
    0.982
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINSEG
    F1-Score· 2022-07-13
    0.947
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINSEG
    MCC· 2022-07-13
    0.93
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWINSEG
    Mean IoU· 2022-07-13
    0.985
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWIMSEG
    Average Precision· 2022-07-13
    0.964
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWIMSEG
    Average Recall· 2022-07-13
    0.979
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWIMSEG
    F1-Score· 2022-07-13
    0.971
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWIMSEG
    MCC· 2022-07-13
    0.956
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277
  • 10-shot image generationonSWIMSEG
    Mean IoU· 2022-07-13
    0.992
    SOTA
    ACLNet: An Attention and Clustering-based Cloud Segmentation NetworkarXiv:2207.06277

Computer Vision6 results

  • Saliency DetectiononMSU Video Saliency Prediction
    AUC-J· 2018-01-23
    0.839
    best: 0.864 (ViNet (dave))
    SOTA
    Revisiting Video Saliency: A Large-scale Benchmark and a New ModelarXiv:1801.07424
  • Saliency DetectiononMSU Video Saliency Prediction
    CC· 2018-01-23
    0.651
    best: 0.733 (ViNet (dave))
    SOTA
    Revisiting Video Saliency: A Large-scale Benchmark and a New ModelarXiv:1801.07424
  • Saliency DetectiononMSU Video Saliency Prediction
    FPS· 2018-01-23
    4.18
    best: 70.46 (UNISAL (videos))
    SOTA
    Revisiting Video Saliency: A Large-scale Benchmark and a New ModelarXiv:1801.07424
  • Saliency DetectiononMSU Video Saliency Prediction
    NSS· 2018-01-23
    1.71
    best: 2.13 (ViNet (dave))
    SOTA
    Revisiting Video Saliency: A Large-scale Benchmark and a New ModelarXiv:1801.07424
  • Saliency DetectiononMSU Video Saliency Prediction
    SIM· 2018-01-23
    0.586
    best: 0.627 (ViNet (dave))
    SOTA
    Revisiting Video Saliency: A Large-scale Benchmark and a New ModelarXiv:1801.07424
  • Saliency DetectiononMSU Video Saliency Prediction
    KLDiv· 2018-01-23
    0.593
    best: 0.799 (ITTI)
    Revisiting Video Saliency: A Large-scale Benchmark and a New ModelarXiv:1801.07424