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. 2306.14291
  4. Cited By
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic
  Distance Enhances Open World Object Detection

Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection

25 June 2023
T. Doan
Xin Li
Sima Behpour
Wenbin He
Liangke Gou
Liu Ren
ArXivPDFHTML

Papers citing "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection"

3 / 3 papers shown
Title
OW-Rep: Open World Object Detection with Instance Representation Learning
OW-Rep: Open World Object Detection with Instance Representation Learning
Sunoh Lee
Minsik Jeon
Jihong Min
Junwon Seo
ObjD
109
0
0
24 Sep 2024
Continual Object Detection: A review of definitions, strategies, and
  challenges
Continual Object Detection: A review of definitions, strategies, and challenges
Angelo G. Menezes
Gustavo de Moura
Cézanne Alves
André C. P. L. F. de Carvalho
ObjD
50
51
0
30 May 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
303
5,761
0
29 Apr 2021
1