1 citations · 1 across the 1 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
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…