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 141–150 of 179 papers

TitleStatusHype
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy MinimizationCode0
Multi-scale and Context-adaptive Entropy Model for Image Compression—0
Neural Image Compression via Non-Local Attention Optimization and Improved Context ModelingCode0
Observer Dependent Lossy Image CompressionCode0
Image Super-Resolution Improved by Edge InformationCode0
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression NetworksCode0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
Customized OCT images compression scheme with deep neural network—0
Human Perceptual Evaluations for Image Compression—0
Deep Perceptual Compression—0
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