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Models/BANet

BANet

Reported on 41 benchmarks across 8 tasks · 2 papers · 37 SOTA

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

Audio13 results

10-shot image generationonUAVid
Mean IoU· 2021-06-23
64.6
best: 73.34 (U-Net Ensemble)
SOTA
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images arXiv:2106.12413
10-shot image generationonRealBlur-J
PSNR (sRGB)· 2021-01-19
32
best: 33.96 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
10-shot image generationonRealBlur-J
SSIM (sRGB)· 2021-01-19
0.923
best: 0.946 (ALGNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
10-shot image generationonRealBlur-R
PSNR (sRGB)· 2021-01-19
39.55
best: 41.19 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
10-shot image generationonRealBlur-R
SSIM (sRGB)· 2021-01-19
0.971
best: 0.981 (ALGNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
10-shot image generationonGoPro
PSNR· 2021-01-19
32.54
best: 35.98 (BSSTNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
10-shot image generationonGoPro
SSIM· 2021-01-19
0.957
best: 0.9792 (BSSTNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
10-shot image generationonHIDE (trained on GOPRO)
PSNR (sRGB)· 2021-01-19
30.16
best: 32.83 (MAXIM)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
10-shot image generationonHIDE (trained on GOPRO)
SSIM (sRGB)· 2021-01-19
0.93
best: 0.956 (MAXIM)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
1 Image, 2*2 StitchionGoPro
SSIM· 2021-01-19
0.957
best: 0.972 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
10-shot image generationonISPRS Vaihingen
Overall Accuracy· 2021-06-23
90.5
best: 93.6 (LSKNet-S)
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images arXiv:2106.12413
10-shot image generationonISPRS Potsdam
Overall Accuracy· uses extra data· 2021-06-23
91.06
best: 93.9 (AerialFormer-B)
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images arXiv:2106.12413
10-shot image generationonGoPro
SSIM· 2021-01-19
0.957
best: 0.9792 (BSSTNet)
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518

Computer Vision9 results

DeblurringonRealBlur-J
PSNR (sRGB)· 2021-01-19
32
best: 33.96 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
DeblurringonRealBlur-J
SSIM (sRGB)· 2021-01-19
0.923
best: 0.946 (ALGNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
DeblurringonRealBlur-R
PSNR (sRGB)· 2021-01-19
39.55
best: 41.19 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
DeblurringonRealBlur-R
SSIM (sRGB)· 2021-01-19
0.971
best: 0.981 (ALGNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
DeblurringonGoPro
PSNR· 2021-01-19
32.54
best: 35.98 (BSSTNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
DeblurringonGoPro
SSIM· 2021-01-19
0.957
best: 0.9792 (BSSTNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
DeblurringonHIDE (trained on GOPRO)
PSNR (sRGB)· 2021-01-19
30.16
best: 32.83 (MAXIM)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
DeblurringonHIDE (trained on GOPRO)
SSIM (sRGB)· 2021-01-19
0.93
best: 0.956 (MAXIM)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
Image DeblurringonGoPro
SSIM· 2021-01-19
0.957
best: 0.972 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518

Methodology9 results

2D ClassificationonRealBlur-J
PSNR (sRGB)· 2021-01-19
32
best: 33.96 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
2D ClassificationonRealBlur-J
SSIM (sRGB)· 2021-01-19
0.923
best: 0.946 (ALGNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
2D ClassificationonRealBlur-R
PSNR (sRGB)· 2021-01-19
39.55
best: 41.19 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
2D ClassificationonRealBlur-R
SSIM (sRGB)· 2021-01-19
0.971
best: 0.981 (ALGNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
2D ClassificationonGoPro
PSNR· 2021-01-19
32.54
best: 35.98 (BSSTNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
2D ClassificationonGoPro
SSIM· 2021-01-19
0.957
best: 0.9792 (BSSTNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
2D ClassificationonHIDE (trained on GOPRO)
PSNR (sRGB)· 2021-01-19
30.16
best: 32.83 (MAXIM)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
2D ClassificationonHIDE (trained on GOPRO)
SSIM (sRGB)· 2021-01-19
0.93
best: 0.956 (MAXIM)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
16konGoPro
SSIM· 2021-01-19
0.957
best: 0.972 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518

Computer Code8 results

Blind Image DeblurringonRealBlur-J
PSNR (sRGB)· 2021-01-19
32
best: 33.96 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
Blind Image DeblurringonRealBlur-J
SSIM (sRGB)· 2021-01-19
0.923
best: 0.946 (ALGNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
Blind Image DeblurringonRealBlur-R
PSNR (sRGB)· 2021-01-19
39.55
best: 41.19 (AdaRevD)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
Blind Image DeblurringonRealBlur-R
SSIM (sRGB)· 2021-01-19
0.971
best: 0.981 (ALGNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
Blind Image DeblurringonGoPro
PSNR· 2021-01-19
32.54
best: 35.98 (BSSTNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
Blind Image DeblurringonGoPro
SSIM· 2021-01-19
0.957
best: 0.9792 (BSSTNet)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
Blind Image DeblurringonHIDE (trained on GOPRO)
PSNR (sRGB)· 2021-01-19
30.16
best: 32.83 (MAXIM)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518
Blind Image DeblurringonHIDE (trained on GOPRO)
SSIM (sRGB)· 2021-01-19
0.93
best: 0.956 (MAXIM)
SOTA
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring arXiv:2101.07518

Medical3 results

Semantic SegmentationonUAVid
Mean IoU· 2021-06-23
64.6
best: 73.34 (U-Net Ensemble)
SOTA
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images arXiv:2106.12413
Semantic SegmentationonISPRS Vaihingen
Overall Accuracy· 2021-06-23
90.5
best: 93.6 (LSKNet-S)
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images arXiv:2106.12413
Semantic SegmentationonISPRS Potsdam
Overall Accuracy· uses extra data· 2021-06-23
91.06
best: 93.9 (AerialFormer-B)
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images arXiv:2106.12413