197 citations · 279 across the 11 of their papers we have counts for
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cs.CV2022★ 3 cited
Hilbert Distillation for Cross-Dimensionality Networks
Dian Qin, Haishuai Wang, Zhe Liu +3
3D convolutional neural networks have revealed superior performance in processing volumetric data such as video and medical imaging. However, the competitive performance by leverag…
cs.CV2022★ 18 cited
Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning Strategy
Jingru Li, Sheng Zhou, Liangcheng Li +3
Data-free knowledge distillation (DFKD) is a widely-used strategy for Knowledge Distillation (KD) whose training data is not available. It trains a lightweight student model with t…
cs.LG2022★ 56 cited
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Sheng Zhou, Hongjia Xu, Zhuonan Zheng +7
Clustering is a fundamental machine learning task which has been widely studied in the literature. Classic clustering methods follow the assumption that data are represented as fea…