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. 2207.06893
  4. Cited By
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using
  End-to-end Full-precision Information Flow

E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow

14 July 2022
Zhiqiang Lang
Chongxing Song
Lei Zhang
Wei Wei
    SupR
    MQ
ArXivPDFHTML

Papers citing "E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow"

2 / 2 papers shown
Title
Improving Binary Neural Networks through Fully Utilizing Latent Weights
Improving Binary Neural Networks through Fully Utilizing Latent Weights
Weixiang Xu
Qiang Chen
Xiangyu He
Peisong Wang
Jian Cheng
MQ
16
6
0
12 Oct 2021
Forward and Backward Information Retention for Accurate Binary Neural
  Networks
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin
Ruihao Gong
Xianglong Liu
Mingzhu Shen
Ziran Wei
F. Yu
Jingkuan Song
MQ
117
321
0
24 Sep 2019
1