Search Results for author: Xiaobing Zhang

Found 6 papers, 1 papers with code

AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation

no code implementations ECCV 2020 Xiaobing Zhang, Shijian Lu, Haigang Gong, Zhipeng Luo, Ming Liu

Online knowledge distillation has attracted increasing interest recently, which jointly learns teacher and student models or an ensemble of student models simultaneously and collaboratively.

Knowledge Distillation Transfer Learning

Multimodal Neural Machine Translation with Search Engine Based Image Retrieval

no code implementations WAT 2022 Zhenhao Tang, Xiaobing Zhang, Zi Long, Xianghua Fu

However, most of these conclusions are drawn from the analysis of experimental results based on a limited set of bilingual sentence-image pairs, such as Multi30K.

Descriptive Image Retrieval +5

Balanced control between performance and saturation for constrained nonlinear systems

no code implementations10 May 2022 Peng Wang, Haibin Wang, Shuzhi Sam Ge, Xiaobing Zhang

This paper addresses the balanced control between performance and saturation for a class of constrained nonlinear systems, including the branches: balanced command filtered backstepping (BCFB) and balanced performance control (BPC).

Space-and-time-synchronized simultaneous vehicle tracking/formation using cascaded prescribed-time control

no code implementations11 Sep 2021 Peng Wang, Ziyin Chen, Xiaobing Zhang

In this paper, we present a space-and-time-synchronized control method with application to the simultaneous tracking/formation.

Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification

no code implementations16 Jun 2021 Zhipeng Luo, Xiaobing Zhang, Shijian Lu, Shuai Yi

Compared with single-source unsupervised domain adaptation (SUDA), domain shift in MUDA exists not only between the source and target domains but also among multiple source domains.

Classification Multi-Source Unsupervised Domain Adaptation +2

Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation

1 code implementation ECCV 2020 Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang

Recent advances in unsupervised domain adaptation for semantic segmentation have shown great potentials to relieve the demand of expensive per-pixel annotations.

Relation Segmentation +2

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