2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
Lojze Žust, Janez Perš, Matej Kristan
The progress in maritime obstacle detection is hindered by the lack of a diverse dataset that adequately captures the complexity of general maritime environments. We present the fi…
cs.CV2023★ 1 cited
eWaSR -- an embedded-compute-ready maritime obstacle detection network
Matija Teršek, Lojze Žust, Matej Kristan
Maritime obstacle detection is critical for safe navigation of autonomous surface vehicles (ASVs). While the accuracy of image-based detection methods has advanced substantially, t…