ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.02018
  4. Cited By
Multi-Glimpse Network: A Robust and Efficient Classification
  Architecture based on Recurrent Downsampled Attention

Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention

3 November 2021
S. Tan
Runpei Dong
Kaisheng Ma
ArXivPDFHTML

Papers citing "Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention"

3 / 3 papers shown
Title
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural
  Networks
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Runpei Dong
Zhanhong Tan
Mengdi Wu
Linfeng Zhang
Kaisheng Ma
MQ
25
11
0
30 Dec 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
20,471
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,196
0
16 Nov 2016
1