Leveraging Movement Representation from Contrastive Learning for Asteroid Detection
To support asteroid-related studies, current motion detectors are utilized to select moving object candidates based on their visualizations and movements in sequences of sky exposures. However, the existing detectors encounter the manual parameter settings which require experts to assign proper parameters. Moreover, although the deep learning
Kongsathitporn, Noppachanin et al.
Fecha de publicación:
12
2024