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. 2403.11567
  4. Cited By
R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based
  Robotic Ecosystems via Proposal Refinement

R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robotic Ecosystems via Proposal Refinement

18 March 2024
Michele Antonazzi
Matteo Luperto
N. A. Borghese
Nicola Basilico
ArXivPDFHTML

Papers citing "R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robotic Ecosystems via Proposal Refinement"

3 / 3 papers shown
Title
FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2
FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2
Jeffrey Ichnowski
Kai-Peng Chen
K. Dharmarajan
Simeon Adebola
Michael Danielczuk
...
Camilo Buscaron
John Kubiatowicz
Ion Stoica
Joseph E. Gonzalez
Ken Goldberg
49
19
0
19 May 2022
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
186
21,824
0
09 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,109
0
02 Dec 2016
1