There are many challenging problems in the person re-identification (ReID) task, such as occlusion and scale variation. Existing works usually tried to solve them by employing a one-branch network. This network needs be robust various problems, which makes this overburdened. paper proposes divide-and-conquer ReID task. For purpose, we employ several self-supervision operations simulate differen...

In-person genetic counselling (GC) is the model typically used to provide patients with information regarding their genetic testing options. Current and emerging demand for genetic testing may overburden the health care system and exceed the available numbers of genetic counsellors. Furthermore, GC is not always available at times and places convenient for patients. There is little evidence tha...

Person retrieval is an important vision task, aiming at matching the images of same person under various camera views. The key challenge lies in large intra-class variations among images. Therefore, how to learn discriminative feature representations becomes core problem. In this paper, we propose a deep part-aware representation learning method for retrieval. First, improved triplet loss intro...