5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2020
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement
Fangbo Qin, Jie Qin, Siyu Huang +1
Image contour based vision measurement is widely applied in robot manipulation and industrial automation. It is appealing to realize object-agnostic vision system, which can be con…
cs.CV2020★ 1 cited
Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
Yingjie Yin, De Xu, Xingang Wang +1
Most recent semi-supervised video object segmentation (VOS) methods rely on fine-tuning deep convolutional neural networks online using the given mask of the first frame or predict…
cs.CV2018★ 5 cited
Adversarial Feature Sampling Learning for Efficient Visual Tracking
Yingjie Yin, Lei Zhang, De Xu +1
The tracking-by-detection framework usually consist of two stages: drawing samples around the target object in the first stage and classifying each sample as the target object or b…