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. 2006.12235
  4. Cited By
ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid
  Networks for Accurate Dense Pixel Matching

ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching

22 June 2020
Rishav Rishav
René Schuster
Ramy Battrawy
Oliver Wasenmüller
D. Stricker
ArXivPDFHTML

Papers citing "ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching"

1 / 1 papers shown
Title
Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based
  Optical FLow Estimation
Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based Optical FLow Estimation
Azin Jahedi
Lukas Mehl
Marc Rivinius
Andrés Bruhn
23
14
0
25 Jul 2022
1