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Models/SUM

SUM

Reported on 38 benchmarks across 3 tasks · 1 paper · 20 SOTA

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

Computer Vision38 results

  • Saliency DetectiononCAT2000
    AUC· 2024-06-25
    0.888
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononCAT2000
    NSS· 2024-06-25
    2.423
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononCAT2000
    KL· 2024-06-25
    0.27
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononMIT300
    AUC-Judd· 2024-06-25
    0.913
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononMIT300
    NSS· 2024-06-25
    2.839
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononSALICON
    AUC· 2024-06-25
    0.876
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononSALICON
    CC· 2024-06-25
    0.909
    best: 0.911 (TempSAL)
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononSALICON
    SIM· 2024-06-25
    0.804
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononCAT2000
    KL· 2024-06-25
    0.27
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononMIT300
    AUC-Judd· 2024-06-25
    0.913
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononMIT300
    NSS· 2024-06-25
    2.839
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononSALICON
    AUC· 2024-06-25
    0.876
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononSALICON
    CC· 2024-06-25
    0.909
    best: 0.911 (TempSAL)
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononSALICON
    SIM· 2024-06-25
    0.804
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononCAT2000
    KL· 2024-06-25
    0.27
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononMIT300
    AUC-Judd· 2024-06-25
    0.913
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononMIT300
    NSS· 2024-06-25
    2.839
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononSALICON
    AUC· 2024-06-25
    0.876
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononSALICON
    CC· 2024-06-25
    0.909
    best: 0.911 (TempSAL)
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononSALICON
    SIM· 2024-06-25
    0.804
    SOTA
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononMIT300
    CC· 2024-06-25
    0.768
    best: 0.807 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononMIT300
    KLD· 2024-06-25
    0.563
    best: 1.0141 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononMIT300
    SIM· 2024-06-25
    0.63
    best: 0.6895 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononSALECI
    KL· 2024-06-25
    0.473
    best: 0.873 (Transalnet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononSALICON
    KLD· 2024-06-25
    0.192
    best: 0.373 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency DetectiononSALICON
    NSS· 2024-06-25
    1.981
    best: 2.019 (SalNAS-XL + Self-KD)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononMIT300
    CC· 2024-06-25
    0.768
    best: 0.807 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononMIT300
    KLD· 2024-06-25
    0.563
    best: 1.0141 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononMIT300
    SIM· 2024-06-25
    0.63
    best: 0.6895 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononSALECI
    KL· 2024-06-25
    0.473
    best: 0.873 (Transalnet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononSALICON
    KLD· 2024-06-25
    0.192
    best: 0.373 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Saliency PredictiononSALICON
    NSS· 2024-06-25
    1.981
    best: 2.019 (SalNAS-XL + Self-KD)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononMIT300
    CC· 2024-06-25
    0.768
    best: 0.807 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononMIT300
    KLD· 2024-06-25
    0.563
    best: 1.0141 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononMIT300
    SIM· 2024-06-25
    0.63
    best: 0.6895 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononSALECI
    KL· 2024-06-25
    0.473
    best: 0.873 (Transalnet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononSALICON
    KLD· 2024-06-25
    0.192
    best: 0.373 (TranSalNet)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815
  • Few-Shot Transfer Learning for Saliency PredictiononSALICON
    NSS· 2024-06-25
    1.981
    best: 2.019 (SalNAS-XL + Self-KD)
    SUM: Saliency Unification through Mamba for Visual Attention ModelingarXiv:2406.17815