27 citations · 101 across the 12 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 11 cited
Multiple Instance Curriculum Learning for Weakly Supervised Object Detection
Siyang Li, Xiangxin Zhu, Qin Huang +2
When supervising an object detector with weakly labeled data, most existing approaches are prone to trapping in the discriminative object parts, e.g., finding the face of a cat ins…
cs.CV2017★ 3 cited
A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision
Chi-Hao Wu, Qin Huang, Siyang Li +1
Being inspired by child's learning experience - taught first and followed by observation and questioning, we investigate a critically supervised learning methodology for object det…
cs.CV2017★ 16 cited
Semantic Segmentation with Reverse Attention
Qin Huang, Chunyang Xia, Chihao Wu +4
Recent development in fully convolutional neural network enables efficient end-to-end learning of semantic segmentation. Traditionally, the convolutional classifiers are taught to…