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Models/ENet-E

ENet-E

Reported on 24 benchmarks across 4 tasks · 1 paper

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

Computer Vision12 results

  • Image Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2016-12-23
    28.42
    best: 29.54 (DRCT-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Image Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2016-12-23
    0.7774
    best: 0.894 (Edge-informed SR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Image Super-ResolutiononUrban100 - 4x upscaling
    PSNR· 2016-12-23
    25.66
    best: 28.72 (Hi-IR-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Image Super-ResolutiononUrban100 - 4x upscaling
    SSIM· 2016-12-23
    0.7703
    best: 0.9481 (SPSR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Image Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2016-12-23
    27.5
    best: 28.16 (DRCT-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Image Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2016-12-23
    0.7326
    best: 0.851 (Edge-informed SR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2016-12-23
    28.42
    best: 29.54 (DRCT-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 3D Object Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2016-12-23
    0.7774
    best: 0.894 (Edge-informed SR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 3D Object Super-ResolutiononUrban100 - 4x upscaling
    PSNR· 2016-12-23
    25.66
    best: 28.72 (Hi-IR-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 3D Object Super-ResolutiononUrban100 - 4x upscaling
    SSIM· 2016-12-23
    0.7703
    best: 0.9481 (SPSR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2016-12-23
    27.5
    best: 28.16 (DRCT-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 3D Object Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2016-12-23
    0.7326
    best: 0.851 (Edge-informed SR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919

Graphs6 results

  • Super-ResolutiononSet14 - 4x upscaling
    PSNR· 2016-12-23
    28.42
    best: 29.54 (DRCT-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Super-ResolutiononSet14 - 4x upscaling
    SSIM· 2016-12-23
    0.7774
    best: 0.894 (Edge-informed SR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Super-ResolutiononUrban100 - 4x upscaling
    PSNR· 2016-12-23
    25.66
    best: 28.72 (Hi-IR-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Super-ResolutiononUrban100 - 4x upscaling
    SSIM· 2016-12-23
    0.7703
    best: 0.9481 (SPSR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Super-ResolutiononBSD100 - 4x upscaling
    PSNR· 2016-12-23
    27.5
    best: 28.16 (DRCT-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • Super-ResolutiononBSD100 - 4x upscaling
    SSIM· 2016-12-23
    0.7326
    best: 0.851 (Edge-informed SR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919

Methodology6 results

  • 16konSet14 - 4x upscaling
    PSNR· 2016-12-23
    28.42
    best: 29.54 (DRCT-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 16konSet14 - 4x upscaling
    SSIM· 2016-12-23
    0.7774
    best: 0.894 (Edge-informed SR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 16konUrban100 - 4x upscaling
    PSNR· 2016-12-23
    25.66
    best: 28.72 (Hi-IR-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 16konUrban100 - 4x upscaling
    SSIM· 2016-12-23
    0.7703
    best: 0.9481 (SPSR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 16konBSD100 - 4x upscaling
    PSNR· 2016-12-23
    27.5
    best: 28.16 (DRCT-L)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919
  • 16konBSD100 - 4x upscaling
    SSIM· 2016-12-23
    0.7326
    best: 0.851 (Edge-informed SR)
    EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisarXiv:1612.07919