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Memory-Efficient Network for Large-Scale Video Compressive Sensing

CVPR 2021 · Video › Video segmentation and tracking · approach: Video restoration with temporal priors · 75 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the RevSCI-net reconstruction modelvideo SCI reconstruction · Six grayscale datasets (average)PSNR (dB): 33.31 -> 33.92Helped
Use the RevSCI-net reconstruction modelvideo SCI reconstruction · MessiPSNR (dB): 21.54 -> 24.35Helped
Use the RevSCI-net reconstruction modelvideo SCI reconstruction · HummingbirdPSNR (dB): 24.13 -> 31.97Helped
Increase the number of reversible blocks from 18 to 28 (ablation)RevSCI-net with 2 groups · Six grayscale test sets (average)PSNR: 33.11 -> 33.34Helped
Increase the number of reversible blocks from 28 to 50 (ablation)RevSCI-net with 2 groups · Six grayscale test sets (average)PSNR: 33.34 -> 33.62Helped
Increase the number of groups from 2 to 4 (ablation)RevSCI-net with 50 reversible blocks · Six grayscale test sets (average)PSNR: 33.62 -> 33.76Helped
Increase the number of groups from 4 to 8 (ablation)RevSCI-net with 50 reversible blocks · Six grayscale test sets (average)PSNR: 33.76 -> 33.84Helped
Increase the number of reversible blocks from 18 to 50 (ablation)RevSCI-net with 2 groups · Six grayscale test sets (average)SSIM: 0.947 -> 0.954Helped
Increase the number of groups from 2 to 8 (ablation)RevSCI-net with 50 reversible blocks · Six grayscale test sets (average)SSIM: 0.954 -> 0.956Helped

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