DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and
Transformers

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers

21 September 2021

Xiaodan Liang

Xiaojun Chang

Papers citing "DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers"

7 / 7 papers shown

Title
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 11 46 0 28 Mar 2022
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 267 955 0 27 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 167 3,799 0 14 Dec 2020
Learning Dynamic Routing for Semantic Segmentation Yanwei Li Lin Song Yukang Chen Zeming Li X. Zhang Xingang Wang Jian-jun Sun SSeg 80 161 0 23 Mar 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 88 508 0 09 Apr 2018
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