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

Neural Information Processing Systems (NeurIPS), 2023

1 August 2023

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Papers citing "GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients"

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Title
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection Xin Gao Jiyao Liu Guanghao Li Yueming Lyu Jianxiong Gao ... Ningsheng Xu Liang Wang Caifeng Shan Ziwei Liu Chenyang Si 183 0 0 20 Oct 2025
Activation Subspaces for Out-of-Distribution Detection Barış Zöngür Robin Hesse Stefan Roth OODD 152 1 0 29 Aug 2025
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 431 0 0 11 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature LeveragingComputer Vision and Pattern Recognition (CVPR), 2025 Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 392 2 0 01 Mar 2025
Out-of-Distribution Detection with Relative Angles Berker Demirel Marco Fumero Francesco Locatello 320 0 0 06 Oct 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances Shuo Lu YingSheng Wang Lijun Sheng Lingxiao He A. Zheng Jian Liang OODD 490 9 0 18 Sep 2024
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023 T. Doan Xin Li Sima Behpour Wenbin He Liangke Gou Liu Ren 288 11 0 25 Jun 2023