LABEL-AWARE RANKED LOSS FOR ROBUST PEOPLE COUNTING USING AUTOMOTIVE IN-CABIN RADAR

Servadei L, Sun H, Ott J, Stephan M, Hazra S, Stadelmayer T, Lopera DS, Wille R, Santra A (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2022-May

Pages Range: 3883-3887

Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Event location: Virtual SG

ISBN: 9781665405409

DOI: 10.1109/ICASSP43922.2022.9747621

Abstract

In this paper, we introduce the Label-Aware Ranked loss, a novel metric loss function. Compared to the state-of-the-art Deep Metric Learning losses, this function takes advantage of the ranked ordering of the labels in regression problems. To this end, we first show that the loss minimises when datapoints of different labels are ranked and laid at uniform angles between each other in the embedding space. Then, to measure its performance, we apply the proposed loss on a regression task of people counting with a short-range radar in a challenging scenario, namely a vehicle cabin. The introduced approach improves the accuracy as well as the neighboring labels accuracy up to 83.0% and 99.9%: An increase of 6.7% and 2.1% on state-of-the-art methods, respectively.

Authors with CRIS profile

Michael Stephan Lehrstuhl für Technische Elektronik (LTE) Thomas Stadelmayer Lehrstuhl für Technische Elektronik (LTE)

Involved external institutions

Infineon Technologies AG DE Germany (DE) Johannes Kepler Universität (JKU) Linz AT Austria (AT)

How to cite

APA:

Servadei, L., Sun, H., Ott, J., Stephan, M., Hazra, S., Stadelmayer, T.,... Santra, A. (2022). LABEL-AWARE RANKED LOSS FOR ROBUST PEOPLE COUNTING USING AUTOMOTIVE IN-CABIN RADAR. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 3883-3887). Virtual, SG: Institute of Electrical and Electronics Engineers Inc..

MLA:

Servadei, Lorenzo, et al. "LABEL-AWARE RANKED LOSS FOR ROBUST PEOPLE COUNTING USING AUTOMOTIVE IN-CABIN RADAR." Proceedings of the 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, Virtual Institute of Electrical and Electronics Engineers Inc., 2022. 3883-3887.

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