DCFNet

Reported on 4 benchmarks across 4 tasks

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

Medical1 result

Semantic SegmentationonRGB-T-Glass-Segmentation
MAE
0.056
best: 0.024 (RGB-T-Glass-Segmentation)

Computer Vision1 result

Scene SegmentationonRGB-T-Glass-Segmentation
MAE
0.056
best: 0.024 (RGB-T-Glass-Segmentation)

Methodology1 result

2D Object DetectiononRGB-T-Glass-Segmentation
MAE
0.056
best: 0.024 (RGB-T-Glass-Segmentation)

Audio1 result

10-shot image generationonRGB-T-Glass-Segmentation
MAE
0.056
best: 0.024 (RGB-T-Glass-Segmentation)