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. 2304.07883
  4. Cited By
Bent & Broken Bicycles: Leveraging synthetic data for damaged object
  re-identification

Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification

16 April 2023
Luca Piano
F. G. Pratticó
Alessandro Sebastian Russo
Lorenzo Lanari
Lia Morra
Fabrizio Lamberti
ArXivPDFHTML

Papers citing "Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification"

5 / 5 papers shown
Title
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse
  Conditions
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions
Abdulrahman Kerim
W. Ramos
Leandro Soriano Marcolino
Erickson R. Nascimento
Richard M. Jiang
18
1
0
26 Aug 2022
Efficient large-scale image retrieval with deep feature orthogonality
  and Hybrid-Swin-Transformers
Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers
Christof Henkel
30
14
0
07 Oct 2021
TransReID: Transformer-based Object Re-Identification
TransReID: Transformer-based Object Re-Identification
Shuting He
Haowen Luo
Pichao Wang
F. Wang
Hao Li
Wei Jiang
ViT
213
794
0
08 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
227
2,428
0
04 Jan 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
174
9,327
0
28 May 2015
1