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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
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Papers citing
"Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection"
7 / 7 papers shown
Title
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
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets
T. Doan
Sima Behpour
Xin Li
Wenbin He
Liangke Gou
Liu Ren
VLM
38
1
0
10 Mar 2024
Open World Object Detection in the Era of Foundation Models
O. Zohar
Alejandro Lozano
Shelly Goel
Serena Yeung
Kuan-Chieh Wang
VLM
21
9
0
10 Dec 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
Sima Behpour
T. Doan
Xin Li
Wenbin He
Liangke Gou
Liu Ren
OODD
33
12
0
01 Aug 2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes
Mina Ghadimi Atigh
Martin Keller-Ressel
Jeffrey Gu
Serena Yeung
28
38
0
11 May 2023
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
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
303
5,773
0
29 Apr 2021
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