CENet

Reported on 6 benchmarks across 5 tasks

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

Computer Vision3 results

Defocus EstimationonCUHK - Blur Detection Dataset
F-measure
0.906
best: 0.917 (DeFusionNet)
Defocus EstimationonCUHK - Blur Detection Dataset
MAE
0.059
Scene SegmentationonMFN Dataset
mIOU
56.1
best: 62.7 (RoadFormer+ (ConvNeXt-L))

Medical1 result

Semantic SegmentationonMFN Dataset
mIOU
56.1
best: 62.7 (RoadFormer+ (ConvNeXt-L))

Methodology1 result

2D Object DetectiononMFN Dataset
mIOU
56.1
best: 62.7 (RoadFormer+ (ConvNeXt-L))

Audio1 result

10-shot image generationonMFN Dataset
mIOU
56.1
best: 62.7 (RoadFormer+ (ConvNeXt-L))