4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing
Zhili Liu, Jianhua Han, Lanqing Hong +4
Self-supervised learning (SSL), especially contrastive methods, has raised attraction recently as it learns effective transferable representations without semantic annotations. A c…
cs.CV2021★ 4 cited
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
Qijun Luo, Zhili Liu, Lanqing Hong +7
Semi-supervised domain adaptation (SSDA), which aims to learn models in a partially labeled target domain with the assistance of the fully labeled source domain, attracts increasin…
cs.CV2020★ 1 cited
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement
Linpu Fang, Hang Xu, Zhili Liu +2
Object detectors trained on fully-annotated data currently yield state of the art performance but require expensive manual annotations. On the other hand, weakly-supervised detecto…