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 751–775 of 1008 papers

TitleStatusHype
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding—0
Soft Compression for Lossless Image Coding—0
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs—0
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling CurvesCode0
Causal Contextual Prediction for Learned Image Compression—0
End-to-end optimized image compression for machines, a study—0
A Systematic Evaluation of Coding Strategies for Sparse Binary Images—0
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks—0
Quantifying the effect of image compression on supervised learning applications in optical microscopy—0
Extreme compression of grayscale images—0
Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things—0
Lossy Image Compression with Normalizing Flows—0
Optical Flow and Mode Selection for Learning-based Video Coding—0
Task-Aware Quantization Network for JPEG Image Compression—0
Learning to Learn to Compress—0
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures—0
Regularized Flexible Activation Function Combinations for Deep Neural Networks—0
Wireless Image Retrieval at the Edge—0
Accelerating Deep Learning Applications in Space—0
Full Quaternion Representation of Color images: A Case Study on QSVD-based Color Image Compression—0
C2G-Net: Exploiting Morphological Properties for Image Classification—0
ModeNet: Mode Selection Network For Learned Video Coding—0
Perceptually Optimizing Deep 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