8 citations · 21 across the 4 of their papers we have counts for
4 papers
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +4
In contrast to fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of simple box annotations, which has recently attracted i…
Box-supervised Instance Segmentation with Level Set Evolution
Wentong Li, Wenyu Liu, Jianke Zhu +3
In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box annotations, which has recently att…
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…
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…