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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

Showing 101125 of 179 papers

TitleStatusHype
Q-LIC: Quantizing Learned Image Compression with Channel Splitting0
RADIANCE: Radio-Frequency Adversarial Deep-learning Inference for Automated Network Coverage Estimation0
RectiNet-v2: A stacked network architecture for document image dewarping0
Scalable Video Coding for Humans and Machines0
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression0
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression0
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level0
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform0
Similarity and Quality Metrics for MR Image-To-Image Translation0
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression0
Subjective and Objective Quality Assessment of Image: A Survey0
Universal Learned Image Compression With Low Computational Cost0
USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s0
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics0
Vector Quantized Semantic Communication System0
Versatile Learned Video Compression0
3-D Context Entropy Model for Improved Practical Image Compression0
Visual Verity in AI-Generated Imagery: Computational Metrics and Human-Centric Analysis0
3D Video Quality Metric for 3D Video Compression0
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays0
A Compression Objective and a Cycle Loss for Neural Image Compression0
A Cross Channel Context Model for Latents in Deep Image Compression0
Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression0
Adversarial Distortion for Learned Video Compression0
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