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Automatic Data Augmentation by Learning the Deterministic Policy
Aiming to produce sufficient and diverse training samples, data augmenta...
10/18/2019 ∙ by Yinghuan Shi, et al. ∙53 ∙
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Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification
In person re-identification (Re-ID), supervised methods usually need a l...
08/02/2019 ∙ by Lei Qi, et al. ∙3 ∙
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Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning
Due to low tissue contrast, irregular object appearance, and unpredictab...
04/27/2018 ∙ by Jinquan Sun, et al. ∙2 ∙
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WebCaricature: a benchmark for caricature face recognition
Caricatures are facial drawings by artists with exaggeration on certain ...
03/09/2017 ∙ by Jing Huo, et al. ∙0 ∙
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OPML: A One-Pass Closed-Form Solution for Online Metric Learning
To achieve a low computational cost when performing online metric learni...
09/29/2016 ∙ by Wenbin Li, et al. ∙0 ∙
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The Automatic Identification of Butterfly Species
The available butterfly data sets comprise a few limited species, and th...
03/18/2018 ∙ by Juanying Xie, et al. ∙0 ∙
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MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification
In this paper, a novel mask based deep ranking neural network with skipp...
04/11/2018 ∙ by Lei Qi, et al. ∙0 ∙
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Online Deep Metric Learning
Metric learning learns a metric function from training data to calculate...
05/15/2018 ∙ by Wenbin Li, et al. ∙0 ∙
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A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
Unsupervised cross-domain person re-identification (Re-ID) faces two key...
04/06/2019 ∙ by Lei Qi, et al. ∙0 ∙
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