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GIRNet: Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
The registration of pathological images plays an important role in medical applications. Despite its significance, most researchers in …
Liu Yang, Gu Shi
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GIRNet: Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
Temporal efficient training of spiking neural network via gradient re-weighting
Recently, brain-inspired spiking neuron networks (SNNs) have attracted widespread research interest because of their event-driven and …
Deng Shikuang, Li Yuhang, Zhang Shanghang, Gu Shi
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Temporal efficient training of spiking neural network via gradient re-weighting
Differentiable spike:Rethinking gradient-descent for training spiking neural networks
Spiking Neural Networks (SNNs) have emerged as a biology-inspired method mimicking the spiking nature of brain neurons. This …
Li Yuhang, Guo Yufei, Zhang Shanghang, Deng Shikuang, Hai Yongqing, Gu Shi
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Differentiable spike:Rethinking gradient-descent for training spiking neural networks
A free lunch from ANN:Towards efficient, accurate spiking neural networks calibration
Spiking Neural Network (SNN) has been recognized as one of the next generation of neural networks. Conventionally, SNN can be converted …
Li Yuhang, Deng Shikuang, Dong Xin, Gong Ruihao, Gu Shi
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A free lunch from ANN:Towards efficient, accurate spiking neural networks calibration
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Spiking neural networks (SNNs) are biology-inspired artificial neural networks (ANNs) that comprise of spiking neurons to process …
Shikuang Deng, Shi Gu
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Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Mixmix:All you need for data-free compression are feature and data mixing
User data confidentiality protection is becoming a rising challenge in the present deep learning research. Without access to data, …
Li Yuhang, Zhu Feng, Gong Ruihao, Shen Mingzhu, Dong Xin, Yu Fengwei, Lu Shaoqing, Gu Shi
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Mixmix:All you need for data-free compression are feature and data mixing
Robust medical image segmentation from non-expert annotations with tri-network
Deep convolutional neural networks (CNNs) have achieved commendable results on a variety of medical image segmentation tasks. However, …
Zhang Tianwei, Yu Lequan, Hu Na, Lv Su, Gu Shi
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Robust medical image segmentation from non-expert annotations with tri-network