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A Likelihood Ratio-Based Approach to Segmenting Unknown Objects.

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第一作者： Nazir,Nayal

第一单位： Computer Engineering Department, Koç University, Istanbul, Turkey.;KUIS AI Center, Istanbul, Turkey.

作者： Nazir,Nayal ^[1] ; Youssef,Shoeb ^[2] ; Fatma,Güney ^[1]

作者单位： Computer Engineering Department, Koç University, Istanbul, Turkey.;KUIS AI Center, Istanbul, Turkey. ^[1] Continental AG, Hanover, Germany.;Technische Universität Berlin, Berlin, Germany. ^[2]

关键词 Anomaly Segmentation Foundational Models for OoD Likelihood Ratio OoD Segmentation Out-of-Distribution Detection Unknown Segmentation

DOI 10.1007/s11263-025-02509-0

PMID 41078977

发布时间 2025-10-13

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International journal of computer vision

2025年133卷10期

6860-6872页

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International journal of computer vision

2025年133卷10期

6860-6872页

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A Likelihood Ratio-Based Approach to Segmenting Unknown Objects.

International journal of computer vision

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International journal of computer vision

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A Likelihood Ratio-Based Approach to Segmenting Unknown Objects.

International journal of computer vision

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International journal of computer vision

相关期刊

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