Zhen Zhao

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Sichuan University ∙ NetEase, Inc

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Yi Zhang
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Chenyu You
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Guang Li
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Bi-Dimensional Feature Alignment for Cross-Domain Object Detection

Recently the problem of cross-domain object detection has started drawin...
11/14/2020 ∙ by Zhen Zhao, et al. ∙ 0 ∙ share

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Active Crowd Counting with Limited Supervision

To learn a reliable people counter from crowd images, head center annota...
07/13/2020 ∙ by Zhen Zhao, et al. ∙ 27 ∙ share

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Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data

Deep learning models are difficult to obtain good performance when data ...
06/08/2020 ∙ by Zhen Zhao, et al. ∙ 0 ∙ share

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Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification

Deep learning models often require much annotated data to obtain good pe...
05/18/2020 ∙ by Bingyu Liu, et al. ∙ 0 ∙ share

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Mutual Learning Network for Multi-Source Domain Adaptation

Early Unsupervised Domain Adaptation (UDA) methods have mostly assumed t...
03/29/2020 ∙ by Zhenpeng Li, et al. ∙ 0 ∙ share

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Adaptive Object Detection with Dual Multi-Label Prediction

In this paper, we propose a novel end-to-end unsupervised deep domain ad...
03/29/2020 ∙ by Zhen Zhao, et al. ∙ 0 ∙ share

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Fast Inference in Capsule Networks Using Accumulated Routing Coefficients

We present a method for fast inference in Capsule Networks (CapsNets) by...
04/15/2019 ∙ by Zhen Zhao, et al. ∙ 0 ∙ share

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Capsule Networks with Max-Min Normalization

Capsule Networks (CapsNet) use the Softmax function to convert the logit...
03/22/2019 ∙ by Zhen Zhao, et al. ∙ 26 ∙ share

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CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

Computed tomography (CT) is a popular medical imaging modality for scree...
08/10/2018 ∙ by Chenyu You, et al. ∙ 0 ∙ share

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Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising

Computed tomography (CT) is a popular medical imaging modality in clinic...
05/02/2018 ∙ by Chenyu You, et al. ∙ 0 ∙ share

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