… Result To valid the effectiveness of our approach proposed on vehicle re-identification task,
… Deep joint discriminative learning for vehicle re-identification and retrieval//Proceedings of …

… more discriminative representations from the vehicle appearance. … deep representation
learning based vehicle re-identification algorithm is proposed to improve vehicle re-identification …

… , which is considered a sub problem of image retrieval. … the training model to learn
more discriminating features. The … public vehicle re-identification datasets, vehicle re-identification-…

… Aiming at the problems of occlusion and monotony of pedestrian discriminative feature
hierarchy in person re-identification, this paper proposes a method combining random occlusion …

… re-identification via learning a discriminating surface. In: Proceedings of the 2016 International
Joint … Super-resolution person re-identification with semi-coupled low-rank discriminant …

… of image retrieval.In the real traffic surveillance system,… of deep neural networks and
the release of large-scale dataset,improving the accuracy and efficiency of vehicle re-identification …

… 摘要 行人再识别(person re-identification, ReID) 旨在解决跨摄像头跨场景下目标行人的关联与
匹 配, 作为智能视频监控系统的关键环节, 对维护社会公共秩序具有重大作用. 为了深入了解行人…

… Abstract: Vehicle re-identification is one of the important … Discriminative-region
attention and orthogonal-view … include large-scale vehicle retrieval and vehicle re-identification. …

… of adjacent areas in person re-identification, a multi-scale and multi-feature fusion person …
Joint discriminative and generative learning for person re-identification[C] //Proceedings of the …

… high-dimensional latent features to perform discriminative classification tasks. Srivastava …
deep hashing with regularized similarity learning for image retrieval and person re-identification…