17 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
LayerMatch: Do Pseudo-labels Benefit All Layers?
Chaoqi Liang, Guanglei Yang, Lifeng Qiao +4
Deep neural networks have achieved remarkable performance across various tasks when supplied with large-scale labeled data. However, the collection of labeled data can be time-cons…
cs.CV2023★ 17 cited
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors
Yancheng Cai, Bo Zhang, Baopu Li +4
Cross-domain pedestrian detection aims to generalize pedestrian detectors from one label-rich domain to another label-scarce domain, which is crucial for various real-world applica…