To address the problem that U-Net's skip connection is difficult to optimize for merging objects of different sizes, we designed a multi-scale attention gate structure (MAG), which allows the model to automatically learn to focus on targets of different sizes. In addition, MAG can be ...
Specifically, we propose a cross-scale interactive attention: multi-scale axial attention (MSAA), which achieves direction-perception attention of different scales interaction. So that the downsampling deep features and the shallow features can maintain context spatial consistency. Besides, we propose a...
Guo et al. [29] used an extended feature pyramid network (EFPN) to enhance semantics information and improve the detection capability of small-scale ships. Yang et al. [30] designed a task-wise attention feature pyramid network (TAFPN) to obtain stronger semantic information and multi-scale ...
As a result, it has gained increasing attention from researchers. The MOT task can be classified into two categories based on the use of video sequences: online and offline tracking. While offline tracking is capable of achieving better tracking performance by utilizing global information from ...
Finally, simulations and physical experiments are carried out in aspects such as different noise level, non-parametric property, processing time and large-scale estimation, to validate the effectiveness and robustness of the PSPF algorithm. Keywords: particle filter; Bayesian estimation; radiation ...