2 papers
cs.CV2026
Unlocking Diffusion Hierarchies: Adaptive Timestep Selection for Zero-Shot Segmentation
Ramin Nakhli, Mahesh Ramachandran, Luca Ballan
Zero-shot segmentation has recently shown notable improvement by leveraging the rich visual priors in large-scale text-to-image diffusion models, such as Stable Diffusion. However,…
cs.CV2024
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…