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. 1701.04128
  4. Cited By
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

15 January 2017
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
    HAI
ArXivPDFHTML

Papers citing "Understanding the Effective Receptive Field in Deep Convolutional Neural Networks"

6 / 206 papers shown
Title
Context-aware Synthesis for Video Frame Interpolation
Context-aware Synthesis for Video Frame Interpolation
Simon Niklaus
Feng Liu
33
406
0
29 Mar 2018
Learning Depth from Single Images with Deep Neural Network Embedding
  Focal Length
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length
Lei He
Guanghui Wang
Zhanyi Hu
MDE
26
172
0
27 Mar 2018
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio
  Source Separation
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation
Emad M. Grais
H. Wierstorf
D. Ward
Mark D. Plumbley
29
21
0
28 Oct 2017
Adversarial Networks for Spatial Context-Aware Spectral Image
  Reconstruction from RGB
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB
Aitor Alvarez-Gila
Joost van de Weijer
Estíbaliz Garrote
GAN
27
90
0
01 Sep 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
35
5,252
0
17 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
169
793
0
27 May 2015
Previous
12345