Uncertainty-guided appearance-motion association network for out-of-distribution action detection

Out-of-distribution (OOD) detection targets to detect and reject test samples with semantic shifts, to prevent models trained on in-distribution (ID) dataset from producing unreliable predictions. Existing works only extract the appearance features on image datasets, and cannot handle dynamic real-w...

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Bibliographic Details
Main Authors: Fang, Xiang, Arvind Easwaran, Genest, Blaise
Other Authors: Interdisciplinary Graduate School (IGS)
Format: Conference or Workshop Item
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/178516
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Institution: Nanyang Technological University
Language: English

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