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cs.CV2021
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer
Zhiyuan Wu, Yu Jiang, Minghao Zhao +4
Recent applications pose requirements of both cross-domain knowledge transfer and model compression to machine learning models due to insufficient training data and limited computa…
cs.CV2021★ 2 cited
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data
Zhiyuan Wu, Yu Jiang, Chupeng Cui +3
Semantic segmentation of road scenes is one of the key technologies for realizing autonomous driving scene perception, and the effectiveness of deep Convolutional Neural Networks(C…
cs.CV2020
Activation Map Adaptation for Effective Knowledge Distillation
Zhiyuan Wu, Hong Qi, Yu Jiang +4
Model compression becomes a recent trend due to the requirement of deploying neural networks on embedded and mobile devices. Hence, both accuracy and efficiency are of critical imp…