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cs.CV2023★ 1 cited
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
Błażej Leporowski, Arian Bakhtiarnia, Nicole Bonnici +4
We introduce the first audio-visual dataset for traffic anomaly detection taken from real-world scenes, called MAVAD, with a diverse range of weather and illumination conditions. I…
cs.CV2022★ 3 cited
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
Giulio Mattolin, Luca Zanella, Elisa Ricci +1
Unsupervised Domain Adaptation (UDA) for object detection aims to adapt a model trained on a source domain to detect instances from a new target domain for which annotations are no…