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

T. Doan
Xin Li
Sima Behpour
Wenbin He
Liangke Gou
Liu Ren
ArXiv (abs)PDFHTMLGithub (11★)

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

5 / 5 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
492
0
0
24 Sep 2024
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets
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
129
1
0
10 Mar 2024
Open World Object Detection in the Era of Foundation Models
Open World Object Detection in the Era of Foundation Models
O. Zohar
Alejandro Lozano
Shelly Goel
Serena Yeung
Kuan-Chieh Wang
VLM
89
11
0
10 Dec 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
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
97
17
0
01 Aug 2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes
Mina Ghadimi Atigh
Martin Keller-Ressel
Jeffrey Gu
Serena Yeung
119
44
0
11 May 2023

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