2 papers
cs.CV2025
ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations
Amirreza Rouhi, Solmaz Arezoomandan, Knut Peterson +2
Object detection models typically rely on predefined categories, limiting their ability to identify novel objects in open-world scenarios. To overcome this constraint, we introduce…
cs.CV2024
Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation
Seungyeop Lee, Knut Peterson, Solmaz Arezoomandan +4
A major obstacle to the development of effective monocular depth estimation algorithms is the difficulty in obtaining high-quality depth data that corresponds to collected RGB imag…