Circle loss: A unified perspective of pair similarity optimization

Y Sun, C Cheng, Y Zhang, C Zhang… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming
to maximize the within-class similarity s_p and minimize the between-class similarity s_n …

Racial bias within face recognition: A survey

S Yucer, F Tektas, N Al Moubayed… - ACM Computing Surveys, 2024 - dl.acm.org
Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …

Exploring racial bias within face recognition via per-subject adversarially-enabled data augmentation

S Yucer, S Akçay, N Al-Moubayed… - Proceedings of the …, 2020 - openaccess.thecvf.com
Whilst face recognition applications are becoming increasingly prevalent within our daily
lives, leading approaches in the field still suffer from performance bias to the detriment of …

Surveying racial bias in facial recognition: Balancing datasets and algorithmic enhancements

A Sumsion, S Torrie, DJ Lee, Z Sun - Electronics, 2024 - mdpi.com
Facial recognition systems frequently exhibit high accuracies when evaluated on standard
test datasets. However, their performance tends to degrade significantly when confronted …

Deep speaker embeddings for far-field speaker recognition on short utterances

A Gusev, V Volokhov, T Andzhukaev… - arxiv preprint arxiv …, 2020 - arxiv.org
Speaker recognition systems based on deep speaker embeddings have achieved
significant performance in controlled conditions according to the results obtained for early …

Rotation consistent margin loss for efficient low-bit face recognition

Y Wu, Y Wu, R Gong, Y Lv, K Chen… - Proceedings of the …, 2020 - openaccess.thecvf.com
In this paper, we consider the low-bit quantization problem of face recognition (FR) under
the open-set protocol. Different from well explored low-bit quantization on closed-set image …

A bayesian framework for integrated deep metric learning and tracking of vulnerable road users using automotive radars

A Dubey, A Santra, J Fuchs, M Lübke, R Weigel… - IEEE …, 2021 - ieeexplore.ieee.org
With the recent advancements in radar systems, radar sensors offer a promising and
effective perception of the surrounding. This includes target detection, classification and …