15 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
Self-Adaptive Partial Domain Adaptation
Jian Hu, Hongya Tuo, Shizhao Zhang +6
Partial Domain adaptation (PDA) aims to solve a more practical cross-domain learning problem that assumes target label space is a subset of source label space. However, the mismatc…
cs.CV2021★ 15 cited
Domain Adaptive YOLO for One-Stage Cross-Domain Detection
Shizhao Zhang, Hongya Tuo, Jian Hu +1
Domain shift is a major challenge for object detectors to generalize well to real world applications. Emerging techniques of domain adaptation for two-stage detectors help to tackl…
cs.CV2014
Efficient Image Categorization with Sparse Fisher Vector
Xiankai Lu, Zheng Fang, Tao Xu +2
In object recognition, Fisher vector (FV) representation is one of the state-of-art image representations ways at the expense of dense, high dimensional features and increased comp…