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 851–900 of 1008 papers

TitleStatusHype
Preprocessing Enhanced Image Compression for Machine Vision—0
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction—0
Probing Image Compression For Class-Incremental Learning—0
Processing Energy Modeling for Neural Network Based Image Compression—0
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training—0
Progressive Compression with Universally Quantized Diffusion Models—0
Progressive Feature Fusion Network for Enhancing Image Quality Assessment—0
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression—0
Progressive Neural Image Compression with Nested Quantization and Latent Ordering—0
Q-LIC: Quantizing Learned Image Compression with Channel Splitting—0
Quality and Complexity Assessment of Learning-Based Image Compression Solutions—0
Quantifying the effect of image compression on supervised learning applications in optical microscopy—0
Quantized Decoder in Learned Image Compression for Deterministic Reconstruction—0
Quantum Implicit Neural Compression—0
RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications—0
Random-Access Neural Compression of Material Textures—0
Rate Distortion Characteristic Modeling for Neural Image Compression—0
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression—0
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression—0
RAWtoBit: A Fully End-to-end Camera ISP Network—0
Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization—0
Localization of Just Noticeable Difference for Image CompressionCode0
Five Modulus Method For Image CompressionCode0
Fine-grained subjective visual quality assessment for high-fidelity compressed imagesCode0
DSIC: Deep Stereo Image CompressionCode0
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & NetworksCode0
UniMIC: Towards Universal Multi-modality Perceptual Image CompressionCode0
Domain Adaptation for Learned Image Compression with Supervised AdaptersCode0
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial ExamplesCode0
Learning to compress and search visual data in large-scale systemsCode0
Scaling Training Data with Lossy Image CompressionCode0
Learning Convolutional Networks for Content-weighted Image CompressionCode0
Learning Content-Weighted Deep Image CompressionCode0
Variable Rate Image Compression with Recurrent Neural NetworksCode0
DRASIC: Distributed Recurrent Autoencoder for Scalable Image CompressionCode0
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware ModelCode0
Observer Dependent Lossy Image CompressionCode0
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)Code0
An Underparametrized Deep Decoder Architecture for Graph SignalsCode0
ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image CompressionCode0
Practical Full Resolution Learned Lossless Image CompressionCode0
Low-Rank Adaptation of Pre-trained Vision Backbones for Energy-Efficient Image Coding for MachineCode0
LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical ImagesCode0
"Zero-Shot" Super-Resolution using Deep Internal LearningCode0
Practical Lossless Compression with Latent Variables using Bits Back CodingCode0
Learning-Based Image Compression for MachinesCode0
Pragmatic Image Compression for Human-in-the-Loop Decision-MakingCode0
Learned Lossless Image Compression Through Interpolation With Low ComplexityCode0
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesCode0
Comprehensive Comparisons of Uniform Quantization in Deep Image CompressionCode0
Show:102550
← PrevPage 18 of 21Next →
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