Person Re-Identification Using Attribute Attention Network (AANet)
Person re-identification is an important computer vision task for video surveillance. Key challenges for person re-identification includes occlusion, variation in view angle & lighting condition, etc. To address these issues, we proposed a deep learning model called AANet which encodes global identification feature, local body region features and person attribute representation. We achieve state-of-the-art performances. In addition, we can perform identity retrieval using both image and text queries.
(Published in CVPR2019)
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