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ResearchFormerly WizWand

Image Compressed Sensing on BSDS100 (test)

38.07PSNRMR-CCSNet+
6.100414.400222.730.9998Jun 23, 2022Jan 19, 2023Aug 17, 2023Mar 14, 2024Oct 10, 2024May 8, 2025Dec 4, 2025
Updated 8mo ago

Evaluation results

MethodLinks
MR-CCSNet+Ratio=50%2022.0638.0797.32
MR-CCSNet+Ratio=50%2022.0638.0797.32
MR-CCSNetRatio=50%2022.0638.0397.31
MR-CCSNetRatio=50%2022.0638.0397.31
RK-CCSNetRatio=50%2022.0637.9297.66
RK-CCSNetRatio=50%2022.0637.2996.95
RK-CCSNet§Ratio=50%2022.0637.2996.95
CSNet+Ratio=50%2022.0636.6296.59
CSNet+Ratio=50%2022.0636.2195.82
CSNet+§Ratio=50%2022.0636.2195.82
RK-CCSNetRatio=25%2022.0633.4393.35
MR-CCSNet+Ratio=25%2022.0633.2992.53
MR-CCSNet+Ratio=25%2022.0633.2992.53
MR-CCSNetRatio=25%2022.0633.2792.51
MR-CCSNetRatio=25%2022.0633.2792.51
CSNet+Ratio=25%2022.0632.8192.06
RK-CCSNetRatio=25%2022.0632.6891.86
RK-CCSNet§Ratio=25%2022.0632.6891.86
CSNet+Ratio=25%2022.0632.4190.73
CSNet+§Ratio=25%2022.0632.4190.73
RK-CCSNetRatio=12.5%2022.0630.5687.59
RK-CCSNetRatio=Average2022.0630.5184.35
MR-CCSNet+Ratio=12.5%2022.0630.4386.39
MR-CCSNet+Ratio=12.5%2022.0630.4386.39
MR-CCSNet+Ratio=Average2022.0630.4182.88
MR-CCSNet+Ratio=Average2022.0630.4182.88
MR-CCSNetRatio=12.5%2022.0630.3986.32
MR-CCSNetRatio=12.5%2022.0630.3986.32
MR-CCSNetRatio=Average2022.0630.3682.79
MR-CCSNetRatio=Average2022.0630.3682.79
CSNet+Ratio=12.5%2022.0630.1186.02
RK-CCSNetRatio=12.5%2022.0629.9885.59
RK-CCSNet§Ratio=12.5%2022.0629.9885.59
RK-CCSNetRatio=Average2022.0629.9382.13
RK-CCSNet§Ratio=Average2022.0629.9382.13
CSNet+Ratio=Average2022.0629.8782.94
CSNet+Ratio=12.5%2022.0629.7784.24
CSNet+§Ratio=12.5%2022.0629.7784.24
CSNet+Ratio=Average2022.0629.4880.42
CSNet+§Ratio=Average2022.0629.4880.42
RK-CCSNetRatio=6.25%2022.0628.681.33
MR-CCSNet+Ratio=6.25%2022.0628.479.52
MR-CCSNet+Ratio=6.25%2022.0628.479.52
MR-CCSNetRatio=6.25%2022.0628.3479.49
MR-CCSNetRatio=6.25%2022.0628.3479.49
CSNet+Ratio=6.25%2022.0628.1479.77
RK-CCSNetRatio=6.25%2022.0628.0878.79
RK-CCSNet§Ratio=6.25%2022.0628.0878.79
CSNet+Ratio=6.25%2022.0627.8277.28
CSNet+§Ratio=6.25%2022.0627.8277.28
4 TaskIterations=100, Loss Weighting Scheme=Normalised2025.1227.09—
RK-CCSNetRatio=3.125%2022.0626.9975.64
3 TaskIterations=50, Loss Weighting Scheme=Uniform2025.1226.88—
MR-CCSNet+Ratio=3.125%2022.0626.8473.61
MR-CCSNet+Ratio=3.125%2022.0626.8473.61
MR-CCSNetRatio=3.125%2022.0626.7573.34
MR-CCSNetRatio=3.125%2022.0626.7573.34
CSNet+Ratio=3.125%2022.0626.5574.13
RK-CCSNetRatio=3.125%2022.0626.5172.66
RK-CCSNet§Ratio=3.125%2022.0626.5172.66
4 TaskIterations=50, Loss Weighting Scheme=Uniform2025.1226.28—
4 TaskIterations=50, Loss Weighting Scheme=Normalised2025.1226.27—
CSNet+Ratio=3.125%2022.0626.1871.02
CSNet+§Ratio=3.125%2022.0626.1871.02
RK-CCSNetRatio=1.5625%2022.0625.5670.55
4 TaskIterations=50, Loss Weighting Scheme=Fixed2025.1225.54—
MR-CCSNet+Ratio=1.5625%2022.0625.4467.91
MR-CCSNet+Ratio=1.5625%2022.0625.4467.91
MR-CCSNetRatio=1.5625%2022.0625.3567.75
MR-CCSNetRatio=1.5625%2022.0625.3567.75
BF-CNNIterations=1002025.1225.22—
RK-CCSNetRatio=1.5625%2022.0625.0266.91
RK-CCSNet§Ratio=1.5625%2022.0625.0266.91
CSNet+Ratio=1.5625%2022.0625.0169.04
BF-CNNIterations=502025.1224.79—
CSNet+Ratio=1.5625%2022.0624.5163.44
CSNet+§Ratio=1.5625%2022.0624.5163.44
Degraded2025.127.33—