Search Results for author: Yukuan Yang

Found 6 papers, 2 papers with code

Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization

no code implementations27 May 2021 Yukuan Yang, Xiaowei Chi, Lei Deng, Tianyi Yan, Feng Gao, Guoqi Li

In summary, the EOQ framework is specially designed for reducing the high cost of convolution and BN in network training, demonstrating a broad application prospect of online training in resource-limited devices.

Model Compression Quantization

Training and Inference for Integer-Based Semantic Segmentation Network

no code implementations30 Nov 2020 Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li

However, neural network quantization can be used to reduce computation load while maintaining comparable accuracy and original network structure.

Quantization Semantic Segmentation

Restoring Negative Information in Few-Shot Object Detection

1 code implementation NeurIPS 2020 Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li

In this paper, we restore the negative information in few-shot object detection by introducing a new negative- and positive-representative based metric learning framework and a new inference scheme with negative and positive representatives.

Few-Shot Learning Few-Shot Object Detection +2

Transfer Learning in General Lensless Imaging through Scattering Media

no code implementations28 Dec 2019 Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li

In summary, this work provides a new solution for lensless imaging through scattering media using transfer learning in DNNs.

Transfer Learning

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking

no code implementations15 Sep 2019 Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi

To the best of our knowledge, DashNet is the first framework that can integrate and process ANNs and SNNs in a hybrid paradigm, which provides a novel solution to achieve both effectiveness and efficiency for high-speed object tracking.

Object Tracking

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers

2 code implementations5 Sep 2019 Yukuan Yang, Shuang Wu, Lei Deng, Tianyi Yan, Yuan Xie, Guoqi Li

In this way, all the operations in the training and inference can be bit-wise operations, pushing towards faster processing speed, decreased memory cost, and higher energy efficiency.

Quantization

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