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Found 2 papers, 1 papers with code
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
Identifying Out-of-distribution (OOD) data is becoming increasingly critical as the real-world applications of deep learning methods expand.
Impact of Action Unit Occurrence Patterns on Detection
In this paper we investigate the impact of action unit occurrence patterns on detection of action units.
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