23 citations · 23 across the 5 of their papers we have counts for
5 papers
Occlusion Robustness of CLIP for Military Vehicle Classification
Jan Erik van Woerden, Gertjan Burghouts, Lotte Nijskens +4
Vision-language models (VLMs) like CLIP enable zero-shot classification by aligning images and text in a shared embedding space, offering advantages for defense applications with s…
Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting
Frank Ruis, Gertjan Burghouts, Hugo Kuijf
Recent progress in large pre-trained vision language models (VLMs) has reached state-of-the-art performance on several object detection benchmarks and boasts strong zero-shot capab…
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols
Gertjan Burghouts, Fieke Hillerström, Erwin Walraven +5
We consider the problem of finding spatial configurations of multiple objects in images, e.g., a mobile inspection robot is tasked to localize abandoned tools on the floor. We defi…
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology
Frank A. Ruis, Alma M. Liezenga, Friso G. Heslinga +6
Collecting and annotating real-world data for the development of object detection models is a time-consuming and expensive process. In the military domain in particular, data colle…
Independent Prototype Propagation for Zero-Shot Compositionality
Frank Ruis, Gertjan Burghouts, Doina Bucur
Humans are good at compositional zero-shot reasoning; someone who has never seen a zebra before could nevertheless recognize one when we tell them it looks like a horse with black…