Search Results for author: Kailu Wu

Found 2 papers, 1 papers with code

CORSD: Class-Oriented Relational Self Distillation

no code implementations • 28 Apr 2023 • Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma

Knowledge distillation conducts an effective model compression method while holding some limitations:(1) the feature based distillation methods only focus on distilling the feature map but are lack of transferring the relation of data examples; (2) the relational distillation methods are either limited to the handcrafted functions for relation extraction, such as L2 norm, or weak in inter- and intra- class relation modeling.

Knowledge Distillation Model Compression +2

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Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation

1 code implementation • CVPR 2020 • Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma

Existing domain adaptation methods aim at learning features that can be generalized among domains.

Ranked #3 on Domain Adaptation on USPS-to-MNIST

Adversarial Attack Semantic Segmentation +1

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