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. 2104.11176
  4. Cited By
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable
  Computation

Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation

22 April 2021
Ryuhei Hamaguchi
Yasutaka Furukawa
Masaki Onishi
Ken Sakurada
ArXivPDFHTML

Papers citing "Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation"

3 / 3 papers shown
Title
Graph-Based Global Reasoning Networks
Graph-Based Global Reasoning Networks
Yunpeng Chen
Marcus Rohrbach
Zhicheng Yan
Shuicheng Yan
Jiashi Feng
Yannis Kalantidis
GNN
NAI
268
457
0
30 Nov 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
1