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. 1801.10585
  4. Cited By
Inference, Learning and Attention Mechanisms that Exploit and Preserve
  Sparsity in Convolutional Networks

Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks

31 January 2018
Timo Hackel
Mikhail (Misha) Usvyatsov
S. Galliani
Jan Dirk Wegner
Konrad Schindler
ArXivPDFHTML

Papers citing "Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks"

2 / 2 papers shown
Title
Indoor Scene Recognition in 3D
Indoor Scene Recognition in 3D
Shengyu Huang
Mikhail (Misha) Usvyatsov
Konrad Schindler
3DV
3DPC
16
19
0
28 Feb 2020
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
522
0
21 Sep 2016
1