Pedestrian Alignment Network for Large-scale Person Re-Identification
Pedestrian Alignment Network for Large-scale Person Re-Identification is a scholarly work, published in 2019 in ''IEEE Transactions on Circuits and Systems for Video Technology''. The main subjects of the publication include convolutional neural network, pedestrian detection, pedestrian, deep learning, artificial intelligence, feature extraction, identification, computer vision, remote sensing, discriminative model, feature, minimum bounding box, Multiple object tracking, matching, machine learning, pattern recognition, and computer science. The authors\nintroduce the pedestrian alignment network (PAN) which allows discriminative\nembedding learning and pedestrian alignment without extra annotations.