Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization

3 April 2025

Papers citing "Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization"

12 / 12 papers shown

Title
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion Jona Ballé Luca Versari Emilien Dupont Hyunjik Kim Matthias Bauer DiffM 178 1 0 30 Nov 2024
A Data-Based Perspective on Transfer Learning Saachi Jain Hadi Salman Alaa Khaddaj Eric Wong Sung Min Park Aleksander Madry 76 38 0 12 Jul 2022
Video Coding for Machines with Feature-Based Rate-Distortion Optimization Kristian Fischer Fabian Brand Christian Herglotz Andre Kaup 77 37 0 11 Mar 2022
Lossy Compression for Lossless Prediction Yann Dubois Benjamin Bloem-Reddy Karen Ullrich Chris J. Maddison 107 62 0 21 Jun 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 945 0 11 May 2021
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study Xiyang Luo Hossein Talebi Feng Yang Michael Elad P. Milanfar 60 38 0 03 Aug 2020
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 88 531 0 28 May 2018
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 372 27,253 0 20 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 491 22,158 0 09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,351 0 16 Nov 2016
Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens Roger C. Grosse ODL 109 1,024 0 19 Mar 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 434 43,875 0 01 May 2014