373 citations · 463 across the 17 of their papers we have counts for
4 papers · 1 filter
A Distractor-Aware Memory for Visual Object Tracking with SAM2
Jovana Videnovic, Alan Lukezic, Matej Kristan
Memory-based trackers are video object segmentation methods that form the target model by concatenating recently tracked frames into a memory buffer and localize the target by atte…
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik +1
Low-shot object counters estimate the number of objects in an image using few or no annotated exemplars. Objects are localized by matching them to prototypes, which are constructed…
DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting
Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik +1
Low-shot counters estimate the number of objects corresponding to a selected category, based on only few or no exemplars annotated in the image. The current state-of-the-art estima…
A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking
Alan Lukezic, Ziga Trojer, Jiri Matas +1
Performance of modern trackers degrades substantially on transparent objects compared to opaque objects. This is largely due to two distinct reasons. Transparent objects are unique…