Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar

Author:

Servadei Lorenzo1,Sun Huawei1,Ott Julius1,Stephan Michael1,Hazra Souvik1,Stadelmayer Thomas1,Lopera Daniela Sanchez1,Wille Robert2,Santra Avik1

Affiliation:

1. Infineon Technologies AG

2. Johannes Kepler University Linz

Publisher

IEEE

Reference21 articles.

1. Accurate People Counting Based on Radar: Deep Learning Approach

2. SphereFace: Deep Hypersphere Embedding for Face Recognition

3. Cos-face: Large margin cosine loss for deep face recognition;wang;2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition,2018

4. Class-variant margin normalized softmax loss for deep face recognition;zhang;IEEE Transactions on Neural Networks and Learning Systems,2020

5. ArcFace: Additive Angular Margin Loss for Deep Face Recognition

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