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Models/ESANet

ESANet

Reported on 8 benchmarks across 4 tasks · 1 paper · 4 SOTA

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

Medical3 results

Semantic SegmentationonRGB-T-Glass-Segmentation
MAE· 2020-11-13
0.04
best: 0.024 (RGB-T-Glass-Segmentation)
SOTA
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis arXiv:2011.06961
Semantic SegmentationonTHUD Robotic Dataset
mIoU· 2020-11-13
78.42
best: 83.19 (SA-Gate)
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis arXiv:2011.06961
Semantic SegmentationonUrbanLF
mIoU (Syn)· 2020-11-13
79.43
best: 81.02 (CMNeXt (RGB-LF80))
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis arXiv:2011.06961

Audio3 results

10-shot image generationonRGB-T-Glass-Segmentation
MAE· 2020-11-13
0.04
best: 0.024 (RGB-T-Glass-Segmentation)
SOTA
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis arXiv:2011.06961
10-shot image generationonTHUD Robotic Dataset
mIoU· 2020-11-13
78.42
best: 83.19 (SA-Gate)
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis arXiv:2011.06961
10-shot image generationonUrbanLF
mIoU (Syn)· 2020-11-13
79.43
best: 81.02 (CMNeXt (RGB-LF80))
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis arXiv:2011.06961

Computer Vision1 result

Scene SegmentationonRGB-T-Glass-Segmentation
MAE· 2020-11-13
0.04
best: 0.024 (RGB-T-Glass-Segmentation)
SOTA
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis arXiv:2011.06961

Methodology1 result

2D Object DetectiononRGB-T-Glass-Segmentation
MAE· 2020-11-13
0.04
best: 0.024 (RGB-T-Glass-Segmentation)
SOTA
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis arXiv:2011.06961