748 citations · 1.3k across the 5 of their papers we have counts for
5 papers
Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification
Qingji Guan, Yaping Huang, Zhun Zhong +3
This paper considers the task of thorax disease classification on chest X-ray images. Existing methods generally use the global image as input for network learning. Such a strategy…
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
Yifan Sun, Liang Zheng, Yi Yang +2
Employing part-level features for pedestrian image description offers fine-grained information and has been verified as beneficial for person retrieval in very recent literature. A…
Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang +2
In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN). In training, Random Erasing randomly selects a recta…
Unsupervised Person Re-identification: Clustering and Fine-tuning
Hehe Fan, Liang Zheng, Yi Yang
The superiority of deeply learned pedestrian representations has been reported in very recent literature of person re-identification (re-ID). In this paper, we consider the more pr…
A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval
Ruoyu Liu, Yao Zhao, Liang Zheng +2
This paper proposes a new evaluation protocol for cross-media retrieval which better fits the real-word applications. Both image-text and text-image retrieval modes are considered.…