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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 51–100 of 179 papers

TitleStatusHype
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
UVDoc: Neural Grid-based Document UnwarpingCode2
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood ModelsCode0
Reference Guided Image Inpainting using Facial AttributesCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study—0
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis—0
Vector Quantized Semantic Communication System—0
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation—0
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery—0
Scalable Video Coding for Humans and Machines—0
Evaluating the Practicality of Learned Image Compression—0
Universal Learned Image Compression With Low Computational Cost—0
Q-LIC: Quantizing Learned Image Compression with Channel Splitting—0
PO-ELIC: Perception-Oriented Efficient Learned Image CodingCode1
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Improved Wavelets for Image Compression from Unitary Circuits—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
ADC-Net: An Open-Source Deep Learning Network for Automated Dispersion Compensation in Optical Coherence TomographyCode1
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder—0
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform—0
Learning True Rate-Distortion-Optimization for End-To-End Image Compression—0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
A New Image Codec Paradigm for Human and Machine Uses—0
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
Data Augmentation For Medical MR Image Using Generative Adversarial Networks—0
Temporal Context Mining for Learned Video CompressionCode0
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission—0
End-to-End Learned Image Compression with Quantized Weights and Activations—0
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
Unified Signal Compression Using a GAN with Iterative Latent Representation OptimizationCode1
Interpolation variable rate image compressionCode1
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
Spatiotemporal Entropy Model is All You Need for Learned Video CompressionCode1
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
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