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Models/SPANet

SPANet

Reported on 7 benchmarks across 2 tasks · 2 papers · 4 SOTA

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

Computer Vision7 results

  • CrowdsonShanghaiTech B
    MAE· uses extra data· 2019-09-16
    6.5
    best: 5.51 (EBC-ZIP-B)
    SOTA
    Learning Spatial Awareness to Improve Crowd CountingarXiv:1909.07057
  • CrowdsonShanghaiTech A
    MSE· 2019-09-16
    92.5
    best: 76.7 (APGCC)
    SOTA
    Learning Spatial Awareness to Improve Crowd CountingarXiv:1909.07057
  • Rain RemovalonRainCityscapes
    PSNR· 2019-04-02
    31.48
    best: 35.82 (MCW-Net)
    SOTA
    Spatial Attentive Single-Image Deraining with a High Quality Real Rain DatasetarXiv:1904.01538
  • Rain RemovalonRainCityscapes
    SSIM· 2019-04-02
    0.9656
    best: 0.987 (MCW-Net)
    SOTA
    Spatial Attentive Single-Image Deraining with a High Quality Real Rain DatasetarXiv:1904.01538
  • CrowdsonShanghaiTech A
    MAE· 2019-09-16
    59.4
    best: 47.81 (EBC-ZIP-B)
    Learning Spatial Awareness to Improve Crowd CountingarXiv:1909.07057
  • CrowdsonUCF CC 50
    MAE· 2019-09-16
    232.6
    best: 154.8 (APGCC)
    Learning Spatial Awareness to Improve Crowd CountingarXiv:1909.07057
  • CrowdsonWorldExpo’10
    Average MAE· 2019-09-16
    7.7
    best: 7.2 (ECAN)
    Learning Spatial Awareness to Improve Crowd CountingarXiv:1909.07057