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 526–550 of 1008 papers

TitleStatusHype
Content-oriented learned image compression—0
Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression—0
DCT Approximations Based on Chen's Factorization—0
Optimizing Image Compression via Joint Learning with DenoisingCode1
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
Neural Distributed Image Compression with Cross-Attention Feature AlignmentCode1
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
Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit AllocationCode1
Universal Learned Image Compression With Low Computational Cost—0
A Novel Algorithm for Exact Concave Hull Extraction—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
PO-ELIC: Perception-Oriented Efficient Learned Image CodingCode1
MALICE: Manipulation Attacks on Learned Image ComprEssion—0
Cardiomegaly Detection using Deep Convolutional Neural Network with U-Net—0
Enhancing VVC with Deep Learning based Multi-Frame Post-Processing—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