no code implementations • 18 Sep 2023 • Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang
Composed image retrieval is a type of image retrieval task where the user provides a reference image as a starting point and specifies a text on how to shift from the starting point to the desired target image.
1 code implementation • Information Processing & Management 2023 • Jiahao Li, Yong Zhang, Xingyu Yang, LiangWei Chen
In addition, while the vast majority of SOTA strategies maintain a poor turnover rate of approximately greater than 50% on average, our framework enjoys a relatively low turnover rate on all datasets, efficiency analysis illustrates that our framework no longer has the quadratic dependency limitation.
no code implementations • 19 Oct 2020 • Xingyu Yang, Mingyuan Meng, Shanlin Xiao, Zhiyi Yu
Spiking neural networks (SNNs) receive widespread attention because of their low-power hardware characteristic and brain-like signal response mechanism, but currently, the performance of SNNs is still behind Artificial Neural Networks (ANNs).
1 code implementation • 29 Jan 2020 • Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu
This module is trained through STDP-based competitive learning and outperforms the baseline modules on learning capability, learning efficiency, and robustness.
1 code implementation • 2 Dec 2019 • Mingyuan Meng, Xingyu Yang, Lei Bi, Jinman Kim, Shanlin Xiao, Zhiyi Yu
Most STDP-based SNNs adopted a slow-learning Fully-Connected (FC) architecture and used a sub-optimal vote-based scheme for spike decoding.