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 101–150 of 179 papers

TitleStatusHype
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays—0
Versatile Learned Video Compression—0
Learned Image Compression with Separate Hyperprior Decoders—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning—0
Perceptual Quality Assessment of HEVC and VVC Standards for 8K Video—0
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model—0
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation—0
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease—0
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesCode0
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware ModelCode0
Deep learning-based bias transfer for overcoming laboratory differences of microscopic imagesCode0
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images—0
A Cross Channel Context Model for Latents in Deep Image Compression—0
RectiNet-v2: A stacked network architecture for document image dewarping—0
A Hitchhiker's Guide to Structural SimilarityCode0
Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition—0
End-to-End Piece-Wise Unwarping of Document Images—0
Learned Block-based Hybrid Image Compression—0
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs—0
Causal Contextual Prediction for Learned Image Compression—0
Learning to Compress Videos without Computing MotionCode0
Object Detection-Based Variable Quantization Processing—0
Conditional Entropy Coding for Efficient Video Compression—0
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
A Spatial RNN Codec for End-to-End Image Compression—0
End-to-end Optimized Video Compression with MV-Residual Prediction—0
HVS-Based Perceptual Color Compression of Image Data—0
End-to-End Learning for Video Frame Compression with Self-Attention—0
Adversarial Distortion for Learned Video Compression—0
3-D Context Entropy Model for Improved Practical Image Compression—0
Emulation of cosmological mass maps with conditional generative adversarial networks—0
Feedback Recurrent Autoencoder for Video Compression—0
Improved Image Coding Autoencoder With Deep Learning—0
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
Saliency Driven Perceptual Image Compression—0
A GAN-based Tunable Image Compression System—0
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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