1 code implementation • CVPR 2022 • Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong liu, Rick Goh, Hongyuan Zhu
This is mainly because the correlation volume, the basis of pixel matching, is computed as the dot product of the convolutional features of the two images.
Ranked #9 on Optical Flow Estimation on KITTI 2015 (train)
no code implementations • 25 May 2021 • Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Goh
DTNN achieved significant energy saving (19. 4X and 64. 9X improvement on ResNet-18 and VGG-11 with ImageNet, respectively) with negligible loss of accuracy.
1 code implementation • 20 May 2021 • Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong liu, Rick Goh
Medical image segmentation is important for computer-aided diagnosis.
Ranked #1 on Brain Tumor Segmentation on BRATS 2019
no code implementations • 14 May 2021 • Zhehui Wang, Xiaozhe Gu, Rick Goh, Joey Tianyi Zhou, Tao Luo
Traditionally, a spike train needs around one thousand time steps to approach similar accuracy as its ANN counterpart.
no code implementations • 26 Mar 2021 • Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Goh
For example, quantisation-aware training (QAT) method involves two copies of model parameters, which is usually beyond the capacity of on-chip memory in edge devices.