199 citations · 204 across the 2 of their papers we have counts for
2 papers
cs.CV2015★ 199 cited
Weakly Supervised Fine-Grained Image Categorization
Yu Zhang, Xiu-shen Wei, Jianxin Wu +4
In this paper, we categorize fine-grained images without using any object / part annotation neither in the training nor in the testing stage, a step towards making it suitable for…
cs.CV2015★ 5 cited
Exploit Bounding Box Annotations for Multi-label Object Recognition
Hao Yang, Joey Tianyi Zhou, Yu Zhang +3
Convolutional neural networks (CNNs) have shown great performance as general feature representations for object recognition applications. However, for multi-label images that conta…