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 601–625 of 1008 papers

TitleStatusHype
Does lossy image compression affect racial bias within face recognition?—0
A Unified Image Preprocessing Framework For Image Compression—0
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training—0
Streaming-capable High-performance Architecture of Learned Image Compression CodecsCode0
Evaluating the Practicality of Learned Image Compression—0
Content-oriented learned image compression—0
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection—0
Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression—0
DCT Approximations Based on Chen's Factorization—0
XAI based Performance Preserving Adaptive Image Compression for Efficient Satellite Communication—0
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City ApplicationsCode0
Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU Coding Architecture—0
Forward Error Correction applied to JPEG-XS codestreams—0
Efficient Pruning for Machine Learning Under Homomorphic Encryption—0
A Novel Algorithm for Exact Concave Hull Extraction—0
Universal Learned Image Compression With Low Computational Cost—0
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering—0
Memory-Efficient Learned Image Compression with Pruned Hyperprior Module—0
Preprocessing Enhanced Image Compression for Machine Vision—0
Perceptual Quality Assessment for Fine-Grained Compressed Images—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding—0
Low-complexity Three-dimensional Discrete Hartley Transform Approximations for Medical Image Compression—0
Q-LIC: Quantizing Learned Image Compression with Channel Splitting—0
MALICE: Manipulation Attacks on Learned Image ComprEssion—0
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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