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Models/FAFR*

FAFR*

Reported on 8 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 Vision4 results

Image Super-ResolutiononSet14 - 4x upscaling
PSNR· 2017-12-14
27.48
best: 29.54 (DRCT-L)
Image Super-resolution via Feature-augmented Random Forest arXiv:1712.05248
Image Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2017-12-14
26.91
best: 28.16 (DRCT-L)
Image Super-resolution via Feature-augmented Random Forest arXiv:1712.05248
3D Object Super-ResolutiononSet14 - 4x upscaling
PSNR· 2017-12-14
27.48
best: 29.54 (DRCT-L)
Image Super-resolution via Feature-augmented Random Forest arXiv:1712.05248
3D Object Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2017-12-14
26.91
best: 28.16 (DRCT-L)
Image Super-resolution via Feature-augmented Random Forest arXiv:1712.05248

Graphs2 results

Super-ResolutiononSet14 - 4x upscaling
PSNR· 2017-12-14
27.48
best: 29.54 (DRCT-L)
Image Super-resolution via Feature-augmented Random Forest arXiv:1712.05248
Super-ResolutiononBSD100 - 4x upscaling
PSNR· 2017-12-14
26.91
best: 28.16 (DRCT-L)
Image Super-resolution via Feature-augmented Random Forest arXiv:1712.05248

Methodology2 results

16konSet14 - 4x upscaling
PSNR· 2017-12-14
27.48
best: 29.54 (DRCT-L)
Image Super-resolution via Feature-augmented Random Forest arXiv:1712.05248
16konBSD100 - 4x upscaling
PSNR· 2017-12-14
26.91
best: 28.16 (DRCT-L)
Image Super-resolution via Feature-augmented Random Forest arXiv:1712.05248