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Models/MT-RNN

MT-RNN

Reported on 26 benchmarks across 7 tasks · 1 paper · 4 SOTA

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

Audio9 results

10-shot image generationonHIDE (trained on GOPRO)
PSNR (sRGB)· 2019-11-18
29.15
best: 32.83 (MAXIM)
SOTA
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
10-shot image generationonGoPro
PSNR· uses extra data· 2019-11-18
31.15
best: 35.98 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
10-shot image generationonGoPro
SSIM· uses extra data· 2019-11-18
0.945
best: 0.9792 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
10-shot image generationonHIDE (trained on GOPRO)
Params (M)· 2019-11-18
2.6
best: 50.88 (Uformer-B)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
10-shot image generationonHIDE (trained on GOPRO)
SSIM (sRGB)· 2019-11-18
0.918
best: 0.956 (MAXIM)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
10-shot image generationonGoPro
PSNR· uses extra data· 2019-11-18
31.15
best: 35.98 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
10-shot image generationonGoPro
SSIM· uses extra data· 2019-11-18
0.945
best: 0.9792 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
1 Image, 2*2 StitchionGoPro
PSNR· uses extra data· 2019-11-18
31.15
best: 34.6 (AdaRevD)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
1 Image, 2*2 StitchionGoPro
SSIM· uses extra data· 2019-11-18
0.945
best: 0.972 (AdaRevD)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410

Computer Vision7 results

DeblurringonHIDE (trained on GOPRO)
PSNR (sRGB)· 2019-11-18
29.15
best: 32.83 (MAXIM)
SOTA
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
DeblurringonGoPro
PSNR· uses extra data· 2019-11-18
31.15
best: 35.98 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
DeblurringonGoPro
SSIM· uses extra data· 2019-11-18
0.945
best: 0.9792 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
DeblurringonHIDE (trained on GOPRO)
Params (M)· 2019-11-18
2.6
best: 50.88 (Uformer-B)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
DeblurringonHIDE (trained on GOPRO)
SSIM (sRGB)· 2019-11-18
0.918
best: 0.956 (MAXIM)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
Image DeblurringonGoPro
PSNR· uses extra data· 2019-11-18
31.15
best: 34.6 (AdaRevD)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
Image DeblurringonGoPro
SSIM· uses extra data· 2019-11-18
0.945
best: 0.972 (AdaRevD)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410

Methodology7 results

2D ClassificationonHIDE (trained on GOPRO)
PSNR (sRGB)· 2019-11-18
29.15
best: 32.83 (MAXIM)
SOTA
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
2D ClassificationonGoPro
PSNR· uses extra data· 2019-11-18
31.15
best: 35.98 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
2D ClassificationonGoPro
SSIM· uses extra data· 2019-11-18
0.945
best: 0.9792 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
2D ClassificationonHIDE (trained on GOPRO)
Params (M)· 2019-11-18
2.6
best: 50.88 (Uformer-B)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
2D ClassificationonHIDE (trained on GOPRO)
SSIM (sRGB)· 2019-11-18
0.918
best: 0.956 (MAXIM)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
16konGoPro
PSNR· uses extra data· 2019-11-18
31.15
best: 34.6 (AdaRevD)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
16konGoPro
SSIM· uses extra data· 2019-11-18
0.945
best: 0.972 (AdaRevD)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410

Computer Code5 results

Blind Image DeblurringonHIDE (trained on GOPRO)
PSNR (sRGB)· 2019-11-18
29.15
best: 32.83 (MAXIM)
SOTA
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
Blind Image DeblurringonGoPro
PSNR· uses extra data· 2019-11-18
31.15
best: 35.98 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
Blind Image DeblurringonGoPro
SSIM· uses extra data· 2019-11-18
0.945
best: 0.9792 (BSSTNet)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
Blind Image DeblurringonHIDE (trained on GOPRO)
Params (M)· 2019-11-18
2.6
best: 50.88 (Uformer-B)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410
Blind Image DeblurringonHIDE (trained on GOPRO)
SSIM (sRGB)· 2019-11-18
0.918
best: 0.956 (MAXIM)
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training arXiv:1911.07410