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cs.CV2025
Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection
Anja DeliÄ, Matej GrciÄ, SiniÅ¡a Å egviÄ
Detecting anomalous human behaviour is an important visual task in safety-critical applications such as healthcare monitoring, workplace safety, or public surveillance. In these co…
cs.CV2025
A Dataset for Semantic Segmentation in the Presence of Unknowns
Zakaria Laskar, Tomas Vojir, Matej Grcic +6
Before deployment in the real-world deep neural networks require thorough evaluation of how they handle both knowns, inputs represented in the training data, and unknowns (anomalie…
cs.CV2024
Outlier detection by ensembling uncertainty with negative objectness
Anja DeliÄ, Matej GrciÄ, SiniÅ¡a Å egviÄ
Outlier detection is an essential capability in safety-critical applications of supervised visual recognition. Most of the existing methods deliver best results by encouraging stan…