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Models/CARN

CARN

Reported on 32 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 Vision16 results

Image Super-ResolutiononSet14 - 4x upscaling
PSNR· 2018-03-23
28.6
best: 29.54 (DRCT-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Image Super-ResolutiononSet14 - 4x upscaling
SSIM· 2018-03-23
0.7806
best: 0.894 (Edge-informed SR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Image Super-ResolutiononManga109 - 4x upscaling
PSNR· 2018-03-23
30.4
best: 33.19 (HMA†)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Image Super-ResolutiononManga109 - 4x upscaling
SSIM· 2018-03-23
0.9082
best: 0.9366 (Hi-IR-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Image Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2018-03-23
26.07
best: 28.72 (Hi-IR-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Image Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2018-03-23
0.7837
best: 0.9481 (SPSR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Image Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2018-03-23
27.58
best: 28.16 (DRCT-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Image Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2018-03-23
0.7349
best: 0.851 (Edge-informed SR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
3D Object Super-ResolutiononSet14 - 4x upscaling
PSNR· 2018-03-23
28.6
best: 29.54 (DRCT-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
3D Object Super-ResolutiononSet14 - 4x upscaling
SSIM· 2018-03-23
0.7806
best: 0.894 (Edge-informed SR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
3D Object Super-ResolutiononManga109 - 4x upscaling
PSNR· 2018-03-23
30.4
best: 33.19 (HMA†)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
3D Object Super-ResolutiononManga109 - 4x upscaling
SSIM· 2018-03-23
0.9082
best: 0.9366 (Hi-IR-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
3D Object Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2018-03-23
26.07
best: 28.72 (Hi-IR-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
3D Object Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2018-03-23
0.7837
best: 0.9481 (SPSR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
3D Object Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2018-03-23
27.58
best: 28.16 (DRCT-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
3D Object Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2018-03-23
0.7349
best: 0.851 (Edge-informed SR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664

Graphs8 results

Super-ResolutiononSet14 - 4x upscaling
PSNR· 2018-03-23
28.6
best: 29.54 (DRCT-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Super-ResolutiononSet14 - 4x upscaling
SSIM· 2018-03-23
0.7806
best: 0.894 (Edge-informed SR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Super-ResolutiononManga109 - 4x upscaling
PSNR· 2018-03-23
30.4
best: 33.19 (HMA†)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Super-ResolutiononManga109 - 4x upscaling
SSIM· 2018-03-23
0.9082
best: 0.9366 (Hi-IR-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Super-ResolutiononUrban100 - 4x upscaling
PSNR· 2018-03-23
26.07
best: 28.72 (Hi-IR-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Super-ResolutiononUrban100 - 4x upscaling
SSIM· 2018-03-23
0.7837
best: 0.9481 (SPSR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2018-03-23
27.58
best: 28.16 (DRCT-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
Super-ResolutiononBSD100 - 4x upscaling
SSIM· 2018-03-23
0.7349
best: 0.851 (Edge-informed SR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664

Methodology8 results

16konSet14 - 4x upscaling
PSNR· 2018-03-23
28.6
best: 29.54 (DRCT-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
16konSet14 - 4x upscaling
SSIM· 2018-03-23
0.7806
best: 0.894 (Edge-informed SR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
16konManga109 - 4x upscaling
PSNR· 2018-03-23
30.4
best: 33.19 (HMA†)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
16konManga109 - 4x upscaling
SSIM· 2018-03-23
0.9082
best: 0.9366 (Hi-IR-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
16konUrban100 - 4x upscaling
PSNR· 2018-03-23
26.07
best: 28.72 (Hi-IR-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
16konUrban100 - 4x upscaling
SSIM· 2018-03-23
0.7837
best: 0.9481 (SPSR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
16konBSD100 - 4x upscaling
PSNR· 2018-03-23
27.58
best: 28.16 (DRCT-L)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664
16konBSD100 - 4x upscaling
SSIM· 2018-03-23
0.7349
best: 0.851 (Edge-informed SR)
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network arXiv:1803.08664