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. 2303.02693
  4. Cited By
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video
  Recognition

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition

5 March 2023
Junyan Wang
Zhenhong Sun
Yichen Qian
Dong Gong
Xiuyu Sun
Ming Lin
M. Pagnucco
Yang Song
    3DPC
ArXivPDFHTML

Papers citing "Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition"

3 / 3 papers shown
Title
TAda! Temporally-Adaptive Convolutions for Video Understanding
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang
Shiwei Zhang
Liang Pan
Zhiwu Qing
Mingqian Tang
Ziwei Liu
M. Ang
35
49
0
12 Oct 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
280
1,981
0
09 Feb 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
193
421
0
01 Feb 2021
1