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Multi-View 3D Object Retrieval With Deep Embedding Network.

, , , , and . IEEE Trans. Image Processing, 25 (12): 5526-5537 (2016)

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Multi-View 3D Object Retrieval With Deep Embedding Network., , , , and . IEEE Trans. Image Processing, 25 (12): 5526-5537 (2016)Vehicle Re-Identification with Refined Part Model., , , , , and . ICME Workshops, page 603-606. IEEE, (2019)3D Object Retrieval with Multimodal Views., , , , , , , , , and 20 other author(s). 3DOR, page 129-136. Eurographics Association, (2015)Learning deep compact descriptor with bagging auto-encoders for object retrieval., , and . ICIP, page 3175-3179. IEEE, (2015)Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification., , , , and . AAAI, page 6853-6860. AAAI Press, (2018)Elite Loss for scene text detection., , , , , and . Neurocomputing, (2019)Scale-Adaptive Deconvolutional Regression Network for Pedestrian Detection., , , , and . ACCV (2), volume 10112 of Lecture Notes in Computer Science, page 416-430. (2016)Cascade Attention Network for Person Re-Identification., , , , , and . ICIP, page 2264-2268. IEEE, (2019)Attention CoupleNet: Fully Convolutional Attention Coupling Network for Object Detection., , , , , and . IEEE Trans. Image Processing, 28 (1): 113-126 (2019)Learning Multi-view Deep Features for Small Object Retrieval in Surveillance Scenarios., , , , and . ACM Multimedia, page 859-862. ACM, (2015)