3 papers
cs.CV2026
Class-specific diffusion models improve military object detection in a low-data domain
Ella P. Fokkinga, Jan Erik van Woerden, Thijs A. Eker +4
Diffusion-based image synthesis has emerged as a promising source of synthetic training data for AI-based object detection and classification. In this work, we investigate whether…
cs.CV2025
AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain
Alma M. Liezenga, Stefan Wijnja, Puck de Haan +4
Poisoning attacks pose an increasing threat to the security and robustness of Artificial Intelligence systems in the military domain. The widespread use of open-source datasets and…
cs.CV2024
Aligning Object Detector Bounding Boxes with Human Preference
Ombretta Strafforello, Osman S. Kayhan, Oana Inel +2
Previous work shows that humans tend to prefer large bounding boxes over small bounding boxes with the same IoU. However, we show here that commonly used object detectors predict l…