4 citations · 4 across the 4 of their papers we have counts for
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cs.CV2024
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
Yibo Zhou, Hai-Miao Hu, Yirong Xiang +2
Rooting in the scarcity of most attributes, realistic pedestrian attribute datasets exhibit unduly skewed data distribution, from which two types of model failures are delivered: (…
cs.CV2023
A Solution to Co-occurrence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition
Yibo Zhou, Hai-Miao Hu, Jinzuo Yu +3
Recent studies on pedestrian attribute recognition progress with either explicit or implicit modeling of the co-occurrence among attributes. Considering that this known a prior is…
cs.CV2022★ 4 cited
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection
Yibo Zhou
In some scenarios, classifier requires detecting out-of-distribution samples far from its training data. With desirable characteristics, reconstruction autoencoder-based methods de…