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. 1809.02601
  4. Cited By
Accelerating Deep Neural Networks with Spatial Bottleneck Modules

Accelerating Deep Neural Networks with Spatial Bottleneck Modules

7 September 2018
Junran Peng
Lingxi Xie
Zhaoxiang Zhang
Tieniu Tan
Jingdong Wang
ArXivPDFHTML

Papers citing "Accelerating Deep Neural Networks with Spatial Bottleneck Modules"

2 / 2 papers shown
Title
SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition
SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition
Xu Hu
Yuxi Wang
Lue Fan
Junsong Fan
Junran Peng
Zhen Lei
Qing Li
Zhaoxiang Zhang
Zhaoxiang Zhang
3DGS
42
8
0
31 Jan 2024
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
1