641 citations · 1.5k across the 32 of their papers we have counts for
4 papers · 1 filter
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking
Alan Lukežič, Jiří Matas, Matej Kristan
Template-based discriminative trackers are currently the dominant tracking paradigm due to their robustness, but are restricted to bounding box tracking and a limited range of tran…
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj
Visual surface anomaly detection aims to detect local image regions that significantly deviate from normal appearance. Recent surface anomaly detection methods rely on generative m…
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding
Lojze Žust, Matej Kristan
Coastal water autonomous boats rely on robust perception methods for obstacle detection and timely collision avoidance. The current state-of-the-art is based on deep segmentation n…
MODS -- A USV-oriented object detection and obstacle segmentation benchmark
Borja Bovcon, Jon Muhovič, Duško Vranac +3
Small-sized unmanned surface vehicles (USV) are coastal water devices with a broad range of applications such as environmental control and surveillance. A crucial capability for au…