Learning-Based Image Compression for Machines
Fuente:
arXiv
Saved in:
| Main Authors: | Gupta, Kartik, Faria, Kimberley, Mehta, Vikas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learned Compression for Images and Point Clouds
by: Ulhaq, Mateen
Published: (2024)
by: Ulhaq, Mateen
Published: (2024)
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
by: Wang, Kai, et al.
Published: (2024)
by: Wang, Kai, et al.
Published: (2024)
CIC: Circular Image Compression
by: Li, Honggui, et al.
Published: (2024)
by: Li, Honggui, et al.
Published: (2024)
Conditional Hallucinations for Image Compression
by: Aczel, Till, et al.
Published: (2024)
by: Aczel, Till, et al.
Published: (2024)
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
by: Ma, Yiyang, et al.
Published: (2024)
by: Ma, Yiyang, et al.
Published: (2024)
UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation
by: Yang, Runzhao, et al.
Published: (2024)
by: Yang, Runzhao, et al.
Published: (2024)
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression
by: Koyuncu, A. Burakhan, et al.
Published: (2022)
by: Koyuncu, A. Burakhan, et al.
Published: (2022)
Lossy Image Compression with Conditional Diffusion Models
by: Yang, Ruihan, et al.
Published: (2022)
by: Yang, Ruihan, et al.
Published: (2022)
Deep learning based Image Compression for Microscopy Images: An Empirical Study
by: Zhou, Yu, et al.
Published: (2023)
by: Zhou, Yu, et al.
Published: (2023)
Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression
by: Koyuncu, A. Burakhan, et al.
Published: (2023)
by: Koyuncu, A. Burakhan, et al.
Published: (2023)
GABIC: Graph-based Attention Block for Image Compression
by: Spadaro, Gabriele, et al.
Published: (2024)
by: Spadaro, Gabriele, et al.
Published: (2024)
ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression
by: Fu, Haisheng, et al.
Published: (2026)
by: Fu, Haisheng, et al.
Published: (2026)
Brain Tumor Classification From MRI Images Using Machine Learning
by: Ranganathan, Vidhyapriya, et al.
Published: (2024)
by: Ranganathan, Vidhyapriya, et al.
Published: (2024)
Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning
by: Yan, Yijun, et al.
Published: (2024)
by: Yan, Yijun, et al.
Published: (2024)
Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+
by: Kanrar, Sayandeep, et al.
Published: (2025)
by: Kanrar, Sayandeep, et al.
Published: (2025)
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors
by: Sharma, Kiran, et al.
Published: (2025)
by: Sharma, Kiran, et al.
Published: (2025)
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models
by: Zhang, Ling-Qi, et al.
Published: (2024)
by: Zhang, Ling-Qi, et al.
Published: (2024)
High-Fidelity Image Compression with Score-based Generative Models
by: Hoogeboom, Emiel, et al.
Published: (2023)
by: Hoogeboom, Emiel, et al.
Published: (2023)
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
by: Milanfar, Peyman, et al.
Published: (2024)
by: Milanfar, Peyman, et al.
Published: (2024)
Exploring Compressed Image Representation as a Perceptual Proxy: A Study
by: Huang, Chen-Hsiu, et al.
Published: (2024)
by: Huang, Chen-Hsiu, et al.
Published: (2024)
A New Machine Learning Dataset of Bulldog Nostril Images for Stenosis Degree Classification
by: Higa, Gabriel Toshio Hirokawa, et al.
Published: (2024)
by: Higa, Gabriel Toshio Hirokawa, et al.
Published: (2024)
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
by: Elata, Noam, et al.
Published: (2024)
by: Elata, Noam, et al.
Published: (2024)
Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package
by: Rasti, Behnood, et al.
Published: (2023)
by: Rasti, Behnood, et al.
Published: (2023)
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
by: Schlosser, Tobias, et al.
Published: (2019)
by: Schlosser, Tobias, et al.
Published: (2019)
Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing
by: Efimovich, Maria, et al.
Published: (2024)
by: Efimovich, Maria, et al.
Published: (2024)
Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
by: Räber, Samuel, et al.
Published: (2025)
by: Räber, Samuel, et al.
Published: (2025)
High-resolution Multi-spectral Image Guided DEM Super-resolution using Sinkhorn Regularized Adversarial Network
by: Paul, Subhajit, et al.
Published: (2023)
by: Paul, Subhajit, et al.
Published: (2023)
Integrating Feature Selection and Machine Learning for Nitrogen Assessment in Grapevine Leaves using In-Field Hyperspectral Imaging
by: Asad, Atif Bilal, et al.
Published: (2025)
by: Asad, Atif Bilal, et al.
Published: (2025)
Bone Fracture Classification using Transfer Learning
by: Gupta, Shyam, et al.
Published: (2024)
by: Gupta, Shyam, et al.
Published: (2024)
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
by: Körber, Nikolai, et al.
Published: (2023)
by: Körber, Nikolai, et al.
Published: (2023)
Progressive Learned Image Compression for Machine Perception
by: Kim, Jungwoo, et al.
Published: (2025)
by: Kim, Jungwoo, et al.
Published: (2025)
Emulating Clinical Quality Muscle B-mode Ultrasound Images from Plane Wave Images Using a Two-Stage Machine Learning Model
by: Chen, Reed, et al.
Published: (2024)
by: Chen, Reed, et al.
Published: (2024)
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images
by: Gupta, Ravi Kant, et al.
Published: (2024)
by: Gupta, Ravi Kant, et al.
Published: (2024)
Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer
by: Xue, Naifu, et al.
Published: (2024)
by: Xue, Naifu, et al.
Published: (2024)
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform
by: Huang, Chenyu, et al.
Published: (2025)
by: Huang, Chenyu, et al.
Published: (2025)
Breast Cancer Image Classification Method Based on Deep Transfer Learning
by: Wang, Weimin, et al.
Published: (2024)
by: Wang, Weimin, et al.
Published: (2024)
Diffusion MRI with Machine Learning
by: Karimi, Davood, et al.
Published: (2024)
by: Karimi, Davood, et al.
Published: (2024)
Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension
by: Konz, Nicholas, et al.
Published: (2024)
by: Konz, Nicholas, et al.
Published: (2024)
The Development and Performance of a Machine Learning Based Mobile Platform for Visually Determining the Etiology of Penile Pathology
by: Allan-Blitz, Lao-Tzu, et al.
Published: (2024)
by: Allan-Blitz, Lao-Tzu, et al.
Published: (2024)
OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
by: Kulyabin, Mikhail, et al.
Published: (2023)
by: Kulyabin, Mikhail, et al.
Published: (2023)
Similar Items
-
Learned Compression for Images and Point Clouds
by: Ulhaq, Mateen
Published: (2024) -
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
by: Wang, Kai, et al.
Published: (2024) -
CIC: Circular Image Compression
by: Li, Honggui, et al.
Published: (2024) -
Conditional Hallucinations for Image Compression
by: Aczel, Till, et al.
Published: (2024) -
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
by: Ma, Yiyang, et al.
Published: (2024)