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Models/DRN

DRN

Reported on 9 benchmarks across 2 tasks · 2 papers · 7 SOTA

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

Computer Vision9 results

  • Image Enhancementon VIDIT’20 validation set
    MPS· 2020-08-19
    0.578
    best: 0.6956 (OIDDR-Net)
    SOTA
    Deep Relighting Networks for Image Light Source ManipulationarXiv:2008.08298
  • Image Enhancementon VIDIT’20 validation set
    PSNR· 2020-08-19
    17.59
    best: 17.62 (OIDDR-Net)
    SOTA
    Deep Relighting Networks for Image Light Source ManipulationarXiv:2008.08298
  • Image Enhancementon VIDIT’20 validation set
    SSIM· 2020-08-19
    0.596
    best: 0.6645 (OIDDR-Net)
    SOTA
    Deep Relighting Networks for Image Light Source ManipulationarXiv:2008.08298
  • VideoonActivityNet Captions
    R@1,IoU=0.5· 2020-04-07
    45.45
    best: 60.67 (GVL (paragraph-level))
    SOTA
    Dense Regression Network for Video GroundingarXiv:2004.03545
  • VideoonActivityNet Captions
    R@1,IoU=0.7· 2020-04-07
    24.36
    best: 38.55 (GVL (paragraph-level))
    SOTA
    Dense Regression Network for Video GroundingarXiv:2004.03545
  • VideoonActivityNet Captions
    R@5,IoU=0.5· 2020-04-07
    77.97
    best: 81.5 (UnLoc-B)
    SOTA
    Dense Regression Network for Video GroundingarXiv:2004.03545
  • VideoonActivityNet Captions
    R@5,IoU=0.7· 2020-04-07
    50.3
    best: 63.33 (VLG-Net)
    SOTA
    Dense Regression Network for Video GroundingarXiv:2004.03545
  • Image Enhancementon VIDIT’20 validation set
    LPIPS· 2020-08-19
    0.44
    best: 0.2733 (OIDDR-Net)
    Deep Relighting Networks for Image Light Source ManipulationarXiv:2008.08298
  • Image Enhancementon VIDIT’20 validation set
    Runtime(s)· 2020-08-19
    0.5
    best: 0.87 (SRN)
    Deep Relighting Networks for Image Light Source ManipulationarXiv:2008.08298