SrcNet

Reported on 8 benchmarks across 2 tasks

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

Medical4 results

Semantic Segmentationonkhanhha's dataset - 4x upscaling (blind)
AHD95· uses extra data
130.47
best: 148.97 (DSRL)
Semantic Segmentationonkhanhha's dataset - 4x upscaling (blind)
Average IOU· uses extra data
0.32
best: 0.552 (CSBSR (w/ PSPNet))
Semantic Segmentationonkhanhha's dataset - 4x upscaling (blind)
HD95_min· uses extra data
95.16
Semantic Segmentationonkhanhha's dataset - 4x upscaling (blind)
IoU_max· uses extra data
0.368
best: 0.573 (CSBSR (w/ PSPNet))

Audio4 results

10-shot image generationonkhanhha's dataset - 4x upscaling (blind)
AHD95· uses extra data
130.47
best: 148.97 (DSRL)
10-shot image generationonkhanhha's dataset - 4x upscaling (blind)
Average IOU· uses extra data
0.32
best: 0.552 (CSBSR (w/ PSPNet))
10-shot image generationonkhanhha's dataset - 4x upscaling (blind)
HD95_min· uses extra data
95.16
10-shot image generationonkhanhha's dataset - 4x upscaling (blind)
IoU_max· uses extra data
0.368
best: 0.573 (CSBSR (w/ PSPNet))