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Models/DANet

DANet

Reported on 31 benchmarks across 9 tasks · 3 papers · 2 SOTA

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

Methodology14 results

3DonNJU2K
Average MAE· 2020-07-14
0.046
best: 0.023 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
3DonNJU2K
S-Measure· 2020-07-14
89.7
best: 93.7 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
3DonNJU2K
max F-Measure· 2020-07-14
90.5
best: 94.6 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
2D ClassificationonNJU2K
Average MAE· 2020-07-14
0.046
best: 0.023 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
2D ClassificationonNJU2K
S-Measure· 2020-07-14
89.7
best: 93.7 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
2D ClassificationonNJU2K
max F-Measure· 2020-07-14
90.5
best: 94.6 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
2D Object DetectiononNJU2K
Average MAE· 2020-07-14
0.046
best: 0.023 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
2D Object DetectiononNJU2K
S-Measure· 2020-07-14
89.7
best: 93.7 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
2D Object DetectiononNJU2K
max F-Measure· 2020-07-14
90.5
best: 94.6 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
2D Object DetectiononRGB-T-Glass-Segmentation
MAE· 2020-07-14
0.069
best: 0.024 (RGB-T-Glass-Segmentation)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
16konNJU2K
Average MAE· 2020-07-14
0.046
best: 0.023 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
16konNJU2K
S-Measure· 2020-07-14
89.7
best: 93.7 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
16konNJU2K
max F-Measure· 2020-07-14
90.5
best: 94.6 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
2D Object DetectiononMFN Dataset
mIOU· 2018-09-09
41.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
Dual Attention Network for Scene Segmentation arXiv:1809.02983

Medical7 results

Semantic SegmentationonTrans10K
GFLOPs· 2018-09-09
198
SOTA
Dual Attention Network for Scene Segmentation arXiv:1809.02983
Semantic SegmentationonRGB-T-Glass-Segmentation
MAE· 2020-07-14
0.069
best: 0.024 (RGB-T-Glass-Segmentation)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
Noise EstimationonSIDD
Average KL Divergence· 2020-07-12
0.212
best: 0.728 (CBDNet)
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation arXiv:2007.05946
Noise EstimationonSIDD
PSNR Gap· 2020-07-12
2.06
best: 8.3 (CBDNet)
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation arXiv:2007.05946
Semantic SegmentationonBDD100K val
mIoU· 2018-09-09
62.8
best: 72.5 (VLTSeg)
Dual Attention Network for Scene Segmentation arXiv:1809.02983
Semantic SegmentationonDADA-seg
mIoU· 2018-09-09
22.24
best: 46.97 (MMUDA)
Dual Attention Network for Scene Segmentation arXiv:1809.02983
Semantic SegmentationonMFN Dataset
mIOU· 2018-09-09
41.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
Dual Attention Network for Scene Segmentation arXiv:1809.02983

Audio5 results

10-shot image generationonTrans10K
GFLOPs· 2018-09-09
198
SOTA
Dual Attention Network for Scene Segmentation arXiv:1809.02983
10-shot image generationonRGB-T-Glass-Segmentation
MAE· 2020-07-14
0.069
best: 0.024 (RGB-T-Glass-Segmentation)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
10-shot image generationonBDD100K val
mIoU· 2018-09-09
62.8
best: 72.5 (VLTSeg)
Dual Attention Network for Scene Segmentation arXiv:1809.02983
10-shot image generationonDADA-seg
mIoU· 2018-09-09
22.24
best: 46.97 (MMUDA)
Dual Attention Network for Scene Segmentation arXiv:1809.02983
10-shot image generationonMFN Dataset
mIOU· 2018-09-09
41.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
Dual Attention Network for Scene Segmentation arXiv:1809.02983

Computer Vision5 results

Object DetectiononNJU2K
Average MAE· 2020-07-14
0.046
best: 0.023 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
Object DetectiononNJU2K
S-Measure· 2020-07-14
89.7
best: 93.7 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
Object DetectiononNJU2K
max F-Measure· 2020-07-14
90.5
best: 94.6 (DFormer-L)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
Scene SegmentationonRGB-T-Glass-Segmentation
MAE· 2020-07-14
0.069
best: 0.024 (RGB-T-Glass-Segmentation)
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection arXiv:2007.06811
Scene SegmentationonMFN Dataset
mIOU· 2018-09-09
41.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
Dual Attention Network for Scene Segmentation arXiv:1809.02983