126 citations · 331 across the 15 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.CV2016★ 16 cited
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
Xiao Liu, Jiang Wang, Shilei Wen +2
A key challenge in fine-grained recognition is how to find and represent discriminative local regions. Recent attention models are capable of learning discriminative region localiz…
cs.CV2016★ 15 cited
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection
Yu Xiang, Wongun Choi, Yuanqing Lin +1
In CNN-based object detection methods, region proposal becomes a bottleneck when objects exhibit significant scale variation, occlusion or truncation. In addition, these methods ma…
cs.CV2016★ 126 cited
Fully Convolutional Attention Networks for Fine-Grained Recognition
Xiao Liu, Tian Xia, Jiang Wang +3
Fine-grained recognition is challenging due to its subtle local inter-class differences versus large intra-class variations such as poses. A key to address this problem is to local…