Discriminative Learning (DJDL) model, which utilizes a deep convolutional network to
effectively extract discriminative representations for vehicle images. To exploit properties
and relationship among samples in different views, we design a unified framework to
combine several different tasks efficiently, including identification, attribute recognition,
verification and triplet tasks. The whole network is optimized jointly via a specific batch …