6 citations · 7 across the 4 of their papers we have counts for
4 papers
Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps
Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao +5
"Lightweight convolutional neural networks" is an important research topic in the field of embedded vision. To implement image recognition tasks on a resource-limited hardware plat…
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision
Hongxing Gao, Wei Tao, Dongchao Wen +3
Deploying deep models on embedded devices has been a challenging problem since the great success of deep learning based networks. Fixed-point networks, which represent their data w…
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection
Hongxing Gao, Wei Tao, Dongchao Wen +4
Deploying deep learning based face detectors on edge devices is a challenging task due to the limited computation resources. Even though binarizing the weights of a very tiny netwo…
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation
Junjie Liu, Dongchao Wen, Hongxing Gao +4
Despite the recent works on knowledge distillation (KD) have achieved a further improvement through elaborately modeling the decision boundary as the posterior knowledge, their per…