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

v1v2v3v4 (latest)

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

25 June 2023

ArXiv (abs)PDF HTML Github (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 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 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 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 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 Pascal Mettes Mina Ghadimi Atigh Martin Keller-Ressel Jeffrey Gu Serena Yeung 119 44 0 11 May 2023