106 citations · 280 across the 17 of their papers we have counts for
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cs.CV2019★ 22 cited
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
Yude Wang, Jie Zhang, Meina Kan +2
Weakly supervised semantic segmentation has attracted much research interest in recent years considering its advantage of low labeling cost. Most of the advanced algorithms follow…
cs.CV2019★ 18 cited
Weakly Supervised Object Detection with Segmentation Collaboration
Xiaoyan Li, Meina Kan, Shiguang Shan +1
Weakly supervised object detection aims at learning precise object detectors, given image category labels. In recent prevailing works, this problem is generally formulated as a mul…
cs.CV2019★ 4 cited
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
Xijun Wang, Meina Kan, Shiguang Shan +1
Benefitted from its great success on many tasks, deep learning is increasingly used on low-computational-cost devices, e.g. smartphone, embedded devices, etc. To reduce the high co…