mlsanityData to 7 Oct 2026

FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection

arXiv 2501.08440 ↗First posted 14 Jan 2025cs.CV cs.AI cs.LGcited by 0

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Abstract (arXiv)

In this work, we propose a novel pipeline for face recognition and out-of-distribution (OOD) detection using short-range FMCW radar. The proposed system utilizes Range-Doppler and micro Range-Doppler Images. The architecture features a primary path (PP) responsible for the classification of in-distribution (ID) faces, complemented by intermediate paths (IPs) dedicated to OOD detection. The network is trained in two stages: first, the PP is trained using triplet loss to optimize ID face classification. In the second stage, the PP is frozen, and the IPs-comprising simple linear autoencoder networks-are trained specifically for OOD detection. Using our dataset generated with a 60 GHz FMCW radar, our method achieves an ID classification accuracy of 99.30% and an OOD detection AUROC of 96.91%.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 17 of its 30 references that are in the map. First posted on arXiv 14 Jan 2025.

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17 of 30 references.

References · 17

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2016A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networkscited by 2,362
  4. 2018A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attackscited by 1,472
  5. 2017Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networkscited by 1,325
  6. 2020Energy-based Out-of-distribution Detectioncited by 1,296
  7. 2018Deep Anomaly Detection with Outlier Exposurecited by 939
  8. 2021ReAct: Out-of-distribution Detection With Rectified Activationscited by 486
  9. 2019Scaling Out-of-Distribution Detection for Real-World Settingscited by 465
  10. 2022ViM: Out-Of-Distribution with Virtual-logit Matchingcited by 404
  11. 2021On the Importance of Gradients for Detecting Distributional Shifts in the Wildcited by 338
  12. 2019Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancycited by 112
5 more
  1. 2021Semantically Coherent Out-of-Distribution Detectioncited by 107
  2. 2020Feature Space Singularity for Out-of-Distribution Detectioncited by 49
  3. 2023MCROOD: Multi-Class Radar Out-Of-Distribution Detectioncited by 9
  4. 2023Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radarcited by 6
  5. 2023HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radarcited by 4

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