no code implementations • 22 Feb 2024 • Peng Gao, Peng Wang, Feng Gao, Fei Wang, Ruyue Yuan
As a long-term vision in the field of artificial intelligence, the core goal of embodied intelligence is to improve the perception, understanding, and interaction capabilities of agents and the environment.
no code implementations • 8 May 2019 • Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang
In order to achieve high performance visual tracking in various negative scenarios, a novel cascaded Siamese network is proposed and developed based on two different deep learning networks: a matching subnetwork and a classification subnetwork.
no code implementations • 23 Apr 2019 • Peng Gao, Ruyue Yuan, Fei Wang, Liyi Xiao, Hamido Fujita, Yan Zhang
In this paper, we investigate the impacts of three main aspects of visual tracking, i. e., the backbone network, the attentional mechanism, and the detection component, and propose a Siamese Attentional Keypoint Network, dubbed SATIN, for efficient tracking and accurate localization.
no code implementations • 16 Apr 2018 • Peng Gao, Ruyue Yuan, Zhicong Lin, Linsheng Zhang, Yan Zhang
In current visual object tracking system, the CPU or GPU-based visual object tracking systems have high computational cost and consume a prohibitive amount of power.