SOTAVerified

MS-SSIM

A MS-SSIM score helps to analyze how much a De-warping module has been able to de-warp a document image from its initial distorted view.

Papers

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Showing 101–110 of 179 papers

TitleStatusHype
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training—0
Q-LIC: Quantizing Learned Image Compression with Channel Splitting—0
RADIANCE: Radio-Frequency Adversarial Deep-learning Inference for Automated Network Coverage Estimation—0
RectiNet-v2: A stacked network architecture for document image dewarping—0
Scalable Video Coding for Humans and Machines—0
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression—0
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level—0
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform—0
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