3 papers
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.CV2023
One-shot neural band selection for spectral recovery
Hai-Miao Hu, Zhenbo Xu, Wenshuai Xu +5
Band selection has a great impact on the spectral recovery quality. To solve this ill-posed inverse problem, most band selection methods adopt hand-crafted priors or exploit cluste…
cs.CV2017
Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware Localization Policy
Xiaowei Zhang, Li Cheng, Bo Li +1
A major bottleneck of pedestrian detection lies on the sharp performance deterioration in the presence of small-size pedestrians that are relatively far from the camera. Motivated…