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 626–650 of 1008 papers

TitleStatusHype
Cardiomegaly Detection using Deep Convolutional Neural Network with U-Net—0
Enhancing VVC with Deep Learning based Multi-Frame Post-Processing—0
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery—0
Dense residual Transformer for image denoising—0
Analysis of Neural Image Compression Networks for Machine-to-Machine Communication—0
An Efficient Architecture and High-Throughput Implementation of CCSDS-123.0-B-2 Hybrid Entropy Coder Targeting Space-Grade SRAM FPGA Technology—0
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms—0
Joint Image Compression and Denoising via Latent-Space Scalability—0
Estimating the Resize Parameter in End-to-end Learned Image CompressionCode0
Identity Preserving Loss for Learned Image Compression—0
Neural Space-filling Curves—0
Feature Compression for Rate Constrained Object Detection on the Edge—0
Split Hierarchical Variational Compression—0
Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain—0
Image Compression and Actionable Intelligence With Deep Neural Networks—0
End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training—0
Image Storage on Synthetic DNA Using Autoencoders—0
SC2 Benchmark: Supervised Compression for Split Computing—0
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform—0
Improved Wavelets for Image Compression from Unitary Circuits—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
Transformations in Learned Image Compression from a Modulation Perspective—0
Hybrid Model-based / Data-driven Graph Transform for Image Coding—0
Post-Training Quantization for Cross-Platform Learned Image Compression—0
Reducing Redundancy in the Bottleneck Representation of the Autoencoders—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