SOTAVerified

Image Compression

Image Compression is an application of data compression for digital images to lower their storage and/or transmission requirements.

Source: Variable Rate Deep Image Compression With a Conditional Autoencoder

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 676–700 of 1008 papers

TitleStatusHype
End-to-End Learned Image Compression with Quantized Weights and Activations—0
Online Meta Adaptation for Variable-Rate Learned Image Compression—0
Transformer-based Image Compression—0
Learned Image Compression for Machine Perception—0
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder—0
Learned Image Compression with Separate Hyperprior Decoders—0
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics—0
KDSalBox: A toolbox of efficient knowledge-distilled saliency models—0
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Learning Sparse Masks for Diffusion-based Image Inpainting—0
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning—0
End-to-End Image Compression with Probabilistic Decoding—0
Wavelet Feature Maps Compression for Low Bandwidth Convolutional Neural Networks—0
Lidar Range Image Compression with Deep Delta Encoding—0
Post-Training Quantization Is All You Need to Perform Cross-Platform Learned Image Compression—0
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform—0
Image Processing via Multilayer Graph Spectra—0
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model—0
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model—0
Learned Image Coding for Machines: A Content-Adaptive Approach—0
4-D Epanechnikov Mixture Regression in Light Field Image Compression—0
Quality and Complexity Assessment of Learning-Based Image Compression Solutions—0
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression—0
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesCode0
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All datasetskodakImageNet32BSDS500Caltech101Cars-196CIFAR-10FER2013Food-101Oxford-IIIT Pet DatasetPCamSTL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STFBD-Rate over VTM-17.0-2.48—Unverified
2WACNNBD-Rate over VTM-17.0-2.95—Unverified
3ELICBD-Rate over VTM-17.0-5.95—Unverified
4MLICBD-Rate over VTM-17.0-8.05—Unverified
5SegPICBD-Rate over VTM-17.0-8.18—Unverified
6LIC-TCM LargeBD-Rate over VTM-17.0-10.14—Unverified
7MLIC+BD-Rate over VTM-17.0-11.39—Unverified
8MLIC++BD-Rate over VTM-17.0-13.39—Unverified
#ModelMetricClaimedVerifiedStatus
1PNGbpsp6.42—Unverified
2JPEG2000bpsp6.35—Unverified
3L3Cbpsp4.76—Unverified
4MS-PixelCNNbpsp3.95—Unverified
5iFlowbpsp3.88—Unverified
#ModelMetricClaimedVerifiedStatus
1RK-CCSNetAverage PSNR30.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,470—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,410—Unverified
#ModelMetricClaimedVerifiedStatus
1SUDHEER10%1—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,270—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,210—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,490—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified