Worapan Kusakunniran , Qiang Wu , Jian Zhang , Hongdong Li, Cross-view and multi-view gait recognitions based on view transformation model using multi-layer perceptron, Pattern Recognition Letters, v.33 n.7, p.882-889, May, 2012 [doi>10.1016/j.patrec.2011.04.014]...
WQ1 , WQ2 , WR is used to achieve feature space transformation of cross-view, and the S is used to obtain global structure relation- ship among samples. sample from different views should be enhanced by those samples with strong structure relationships, n...
最后,它们使用分类器(例如SVM或最近邻分类器[4]、[6]、[7]、[18]、[20]、[21])基于测得的距离为模板分配一个标签。 【19】Gait recognition using a view transformation model in the frequency domain 【20】GaitGAN: Invariant gait feature extraction using generative adversarial networks 【21】Invariant ...
Wang, Y., Xia, Y. & Zhang, Y. Beyond view transformation: feature distribution consistent GANs for cross-view gait recognition.38 Published16 July 2021
This paper presents a novel color correction technique for object identification across different cameras. First of all, we project the analyzed object onto the LAB color space and then find its principal color axis through the principal component analysis. Since the L axis corresponds to the intens...
This differs significantly from existing approaches, which reconstruct gait features in different views either through 2D view transformation or 3D calibration. Without explicit reconstruction, our approach can cope with feature mis-match across view and is more robust against feature noise. Our ...
Transformation: The script for transforming a set of silhouettes into a discriminative representation. Authors & Contributors GaitSet is authored byHanqing Chao,Yiwei He,Junping Zhangand JianFeng Feng from Fudan Universiy.Junping Zhangis the corresponding author. The code is developed byHanqing ChaoandYiw...
Feature transformation is of great importance to strengthen the descriptive power of feature representation for many classification and recognition tasks. In this paper, we propose a novel cross-view semantic projection learning method for extracting latent semantics from the hand-crafted features. ...
Feature transformation is of great importance to s Dai,Ju,Zhang,... - 《Pattern Recognition the Journal of the Pattern Recognition Society》 被引量: 2发表: 2018年 Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs Knowledge graph entity typing (KGET) aims at inferring plausib...
Recently, [71] introduced the Rotary Po- sitional Embedding (RoPE): a transformation to each key and query features is applied according to their absolute position, in such a way that the pairwise similarity scores 17971 used in the attention computati...