Neural Image Compression: Generalization, Robustness, and Spectral Biases

17 July 2023

Papers citing "Neural Image Compression: Generalization, Robustness, and Spectral Biases"

6 / 6 papers shown

Title
Learning sparse auto-encoders for green AI image coding Cyprien Gille F. Guyard Marc Antonini Michel Barlaud 16 3 0 09 Sep 2022
MALICE: Manipulation Attacks on Learned Image ComprEssion Kang Liu Di Wu Yi-Ren Wang Dan Feng Benjamin Tan S. Garg AAML 6 1 0 26 May 2022
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions Jiachen Sun Qingzhao Zhang B. Kailkhura Zhiding Yu Chaowei Xiao Z. Morley Mao 3DPC 31 84 0 28 Jan 2022
Out-of-Distribution Robustness in Deep Learning Compression E. Lei Hamed Hassani Shirin Saeedi Bidokhti OOD OODD 6 5 0 13 Oct 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 669 0 24 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020