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Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism 期刊论文
NEURAL NETWORKS, 2024, 卷号: 170, 页码: 276-284
作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu
收藏  |  浏览/下载：82/0  |  提交时间：2024/02/22
Object detection  Bounding box regression  Loss function design  Focusing mechanism  
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition 期刊论文
NEURAL NETWORKS, 2023, 卷号: 166, 页码: 410-423
作者:  Yao, Man;  Zhang, Hengyu;  Zhao, Guangshe;  Zhang, Xiyu;  Wang, Dingheng;  Cao, Gang;  Li, Guoqi
收藏  |  浏览/下载：117/0  |  提交时间：2023/11/16
Spiking neural network  Event-based vision  Neuromorphic computing  Attention mechanism  Brain-inspired computing  
DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning 期刊论文
NEURAL NETWORKS, 2021, 卷号: 135, 页码: 1-12
作者:  Tiwari, Prayag;  Zhu, Hongyin;  Pandey, Hari Mohan
收藏  |  浏览/下载：249/0  |  提交时间：2021/03/15
Knowledge graph reasoning  Reinforcement learning  Graph self-attention  GRU