CrAFT: Compression-Aware Fine-Tuning for Efficient Visual Task Adaptation

8 May 2023

Papers citing "CrAFT: Compression-Aware Fine-Tuning for Efficient Visual Task Adaptation"

6 / 6 papers shown

Title
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models Clara Na Sanket Vaibhav Mehta Emma Strubell 64 19 0 25 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Qiufeng Wang Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 113 132 0 07 Oct 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014