|
|
|
|
|
Shaona Wang, Yang Liu and Linlin Li
In this study, a novel feature learning method for synthetic aperture radar (SAR) image automatic target recognition is presented. It is based on spatial pyramid matching (SPM), which represents an image by concatenating the pooling feature vectors that ...
ver más
|
|
|
|
|
|
|
|
|
Sankalp Sinha, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker and Muhammad Zeshan Afzal
In the age of deep learning, researchers have looked at domain adaptation under the pre-training and fine-tuning paradigm to leverage the gains in the natural image domain. These backbones and subsequent networks are designed for object detection in the ...
ver más
|
|
|
|
|
|
|
|
|
Shunichi Mukae, Takeshi Okuzono and Kimihiro Sakagami
Partition of unity finite element method with plane wave enrichment (PW-FEM) uses a shape function with a set of plane waves propagating in various directions. For room acoustic simulations in a frequency domain, PW-FEM can be an efficient wave-based pre...
ver más
|
|
|
|
|
|
|
|
|
Jian Xu, Kean Chen, Lei Wang and Jiangong Zhang
Low-frequency sound field reconstruction in an enclosed space has many applications where the plane wave approximation of acoustic modes plays a crucial role. However, the basis mismatch of the plane wave directions degrades the approximation accuracy. I...
ver más
|
|
|
|
|
|
|
|
|
Shanshan Luo, Baoqing Li, Xiaobing Yuan and Huawei Liu
The Discriminative Correlation Filter (DCF) has been universally recognized in visual object tracking, thanks to its excellent accuracy and high speed. Nevertheless, these DCF-based trackers perform poorly in long-term tracking. The reasons include the f...
ver más
|
|
|
|