no code implementations • 11 Feb 2024 • Jie Ren, Yang Zhao, Weichuan Zhang, Changming Sun
The proposed SFDNet has the ability to effectively extract spatial-frequency feature representation from input images, improve the accuracy of image classification, and fundamentally alleviate catastrophic forgetting.
no code implementations • 25 Sep 2023 • Jin Lu, Guojie Peng, Weichuan Zhang, Changming Sun
This paper presents a track-before-detect (TBD) algorithm based on an improved particle filter, i. e. cost-reference particle filter bank (CRPFB), which turns the problem of target detection to the problem of two-layer hypothesis testing.
no code implementations • 11 Jul 2023 • Yi Liao, Yongsheng Gao, Weichuan Zhang
However, all the CAM-based methods (e. g., CAM, Grad-CAM, and Relevance-CAM) can only be used for interpreting CNN models with fully-connected (FC) layers as a classifier.
no code implementations • 10 Jul 2023 • Yanbing Li, Weichuan Zhang, Lianying Ji
It is worthwhile to note that more and more vehicles are equipped with automotive radars, resulting in mutual interference between radars.
1 code implementation • 7 Jun 2023 • Rui Sun, Tao Lei, Weichuan Zhang, Yong Wan, Yong Xia, Asoke K. Nandi
The hybrid architecture of convolution neural networks (CNN) and Transformer has been the most popular method for medical image segmentation.
no code implementations • 30 Apr 2023 • Jie Ren, Wenya Yu, Jiapan Guo, Weichuan Zhang, Changming Sun
Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction.
no code implementations • 8 Mar 2023 • Huaqing Wang, Junfeng Jing, Ning li, Weichuan Zhang, Chao Liu
In this work, the capability of the Gabor function to discriminate the intensity changes of step edges, L-shaped corners, Y-shaped or T-shaped corners, X-shaped corners, and star-shaped corners are investigated.
no code implementations • 16 Aug 2022 • Yunhong Li, Yuandong Bi, Weichuan Zhang, Jie Ren, Jinni Chen
Second, a set of Gabor filters are used to smooth the input images and the color edge strength maps are extracted, which are fused into a new ESM with the noise robustness and accurate edge extraction.
no code implementations • 15 Jun 2021 • Junfeng Jing, Tian Gao, Weichuan Zhang, Yongsheng Gao, Changming Sun
The existing popular datasets and evaluation standards are provided and the performances for eighteen state-of-the-art approaches are evaluated and discussed.
no code implementations • 13 Jun 2021 • Weichuan Zhang, Xuefang Liu, Zhe Xue, Yongsheng Gao, Changming Sun
Metric-based few-shot fine-grained image classification (FSFGIC) aims to learn a transferable feature embedding network by estimating the similarities between query images and support classes from very few examples.