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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
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance—0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
Deep Perceptual Compression—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission—0
Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition—0
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder—0
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model—0
Neural Video Compression using Spatio-Temporal Priors—0
Non-local Attention Optimized Deep Image Compression—0
Object Detection-Based Variable Quantization Processing—0
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement—0
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission—0
Perceptual Quality Assessment of HEVC and VVC Standards for 8K Video—0
Perceptual Video Compression with Neural Wrapping—0
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
Similarity and Quality Metrics for MR Image-To-Image Translation—0
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression—0
Subjective and Objective Quality Assessment of Image: A Survey—0
Universal Learned Image Compression With Low Computational Cost—0
USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s—0
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics—0
Vector Quantized Semantic Communication System—0
Versatile Learned Video Compression—0
3-D Context Entropy Model for Improved Practical Image Compression—0
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation—0
Learned Image Compression with Separate Hyperprior Decoders—0
Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates—0
Learning Image and Video Compression through Spatial-Temporal Energy Compaction—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Learning True Rate-Distortion-Optimization for End-To-End Image Compression—0
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model—0
MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression—0
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation—0
MRI Image Generation Based on Text Prompts—0
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease—0
Multi-scale and Context-adaptive Entropy Model for Image Compression—0
Multiscale Motion-Aware and Spatial-Temporal-Channel Contextual Coding Network for Learned Video Compression—0
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