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 576–600 of 1008 papers

TitleStatusHype
Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial Neural Networks: A Deep Learning Approach—0
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory—0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
Visually Similar Products Retrieval for Shopsy—0
Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression—0
Leveraging progressive model and overfitting for efficient learned image compression—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly DetectionCode0
Multi-Sample Training for Neural Image Compression—0
Flexible Neural Image Compression via Code Editing—0
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images—0
Learning sparse auto-encoders for green AI image coding—0
Energy-Aware JPEG Image Compression: A Multi-Objective ApproachCode0
A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms—0
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation—0
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain—0
Semantic Segmentation in Learned Compressed Domain—0
Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression—0
Edge-Aware Extended Star-Tetrix Transforms for CFA-Sampled Raw Camera Image Compression—0
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules—0
Deep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting—0
Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression—0
Learning to Structure an Image with Few Colors and Beyond—0
RAWtoBit: A Fully End-to-end Camera ISP Network—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