RdimKD: Generic Distillation Paradigm by Dimensionality Reduction

RdimKD: Generic Distillation Paradigm by Dimensionality Reduction

14 December 2023

Yang Zhang

Papers citing "RdimKD: Generic Distillation Paradigm by Dimensionality Reduction"

8 / 8 papers shown

Title
Prune Your Model Before Distill It Jinhyuk Park Albert No VLM 31 27 0 30 Sep 2021
LGD: Label-guided Self-distillation for Object Detection Peizhen Zhang Zijian Kang Tong Yang X. Zhang N. Zheng Jian-jun Sun ObjD 71 30 0 23 Sep 2021
Distilling Knowledge via Knowledge Review Pengguang Chen Shu-Lin Liu Hengshuang Zhao Jiaya Jia 147 308 0 19 Apr 2021
Localization Distillation for Dense Object Detection Zhaohui Zheng Rongguang Ye Ping Wang Dongwei Ren W. Zuo Qibin Hou Ming-Ming Cheng ObjD 90 111 0 24 Feb 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 948 20,214 0 17 Apr 2017
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 154 3,574 0 09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016