1.8k citations · 6.1k across the 149 of their papers we have counts for
150 papers
Dual Contrastive Network for Few-Shot Remote Sensing Image Scene Classification
Zhong Ji, Liyuan Hou, Xuan Wang +2
Few-shot remote sensing image scene classification (FS-RSISC) aims at classifying remote sensing images with only a few labeled samples. The main challenges lie in small inter-clas…
Variational Bayesian Approximations Kalman Filter Based on Threshold Judgment
Zuxuan Zhang, Gang Wang, Jiacheng He +1
The estimation of non-Gaussian measurement noise models is a significant challenge across various fields. In practical applications, it often faces challenges due to the large numb…
A Covariance Adaptive Student's t Based Kalman Filter
Benyang Gong, Jiacheng He, Gang Wang +1
In the classical Kalman filter(KF), the estimated state is a linear combination of the one-step predicted state and measurement state, their confidence level change when the predic…
Interactive Model Fusion-Based GM-PHD Filter
Jiacheng He, Shan Zhong, Bei Peng +2
In multi-target tracking (MTT), non-Gaussian measurement noise from sensors can diminish the performance of the Gaussian-assumed Gaussian mixture probability hypothesis density (GM…
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL
Yechen Zhang, Jian Sun, Gang Wang +2
Discrete reinforcement learning (RL) algorithms have demonstrated exceptional performance in solving sequential decision tasks with discrete action spaces, such as Atari games. How…
Cubature Kalman filter Based on generalized minimum error entropy with fiducial point
Jiacheng He, Gang Wang, Zhenyu Feng +2
In real applications, non-Gaussian distributions are frequently caused by outliers and impulsive disturbances, and these will impair the performance of the classical cubature Kalma…