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. 1912.02605
  4. Cited By
Towards Understanding Residual and Dilated Dense Neural Networks via
  Convolutional Sparse Coding

Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding

5 December 2019
Zhiyang Zhang
Shihua Zhang
ArXivPDFHTML

Papers citing "Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding"

3 / 3 papers shown
Title
Revisiting Sparse Convolutional Model for Visual Recognition
Revisiting Sparse Convolutional Model for Visual Recognition
Xili Dai
Mingyang Li
Pengyuan Zhai
Shengbang Tong
Xingjian Gao
Shao-Lun Huang
Zhihui Zhu
Chong You
Y. Ma
FAtt
21
27
0
24 Oct 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
V. Papyan
Yaniv Romano
Michael Elad
48
283
0
27 Jul 2016
1