2 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.CV2024
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
Judith Dijk, Gertjan Burghouts, Kapil D. Katyal +5
For navigation of robots, image segmentation is an important component to determining a terrain's traversability. For safe and efficient navigation, it is key to assess the uncerta…