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. 2304.12542
  4. Cited By
Object Semantics Give Us the Depth We Need: Multi-task Approach to
  Aerial Depth Completion

Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion

25 April 2023
Sara Hatami Gazani
Fardad Dadboud
M. Bolic
I. Mantegh
H. Najjaran
    3DPC
ArXivPDFHTML

Papers citing "Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion"

1 / 1 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,136
0
06 Jun 2015
1