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A Discriminatively Learned CNN Embedding for Person Reidentification
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Human Semantic Parsing for Person Re-identification
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Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification
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Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification
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One-Shot Fine-Grained Instance Retrieval
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Joint Discriminative and Generative Learning for Person Re-identification
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Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
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Densely Connected Convolutional Networks
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StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
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Image Captioning with Clause-Focused Metrics in a Multi-modal Setting for Marketing
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The Labeled Multiple Canonical Correlation Analysis for Information Fusion
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Domain Adaptation Through Synthesis for Unsupervised Person Re-identification
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Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
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Multimodal Image Captioning for Marketing Analysis
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Squeeze-and-Excitation Networks
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Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro
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Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
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Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
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Francesco Solera
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Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples
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Re-ranking Person Re-identification with k-Reciprocal Encoding
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Rethinking the Inception Architecture for Computer Vision
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Multilabel Image Classification With Regional Latent Semantic Dependencies
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Fast and scalable polynomial kernels via explicit feature maps
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Person Re-identification: Past, Present and Future
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