AI RESEARCH
Trajectory-Agnostic Asteroid Detection in TESS with Deep Learning
arXiv CS.LG
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ArXi:2605.12391v1 Announce Type: cross We present a novel method for extracting moving objects from TESS data using machine learning. Our approach uses two stacked 3D U-Nets with skip connections, which we call a W-Net, to filter background and identify pixels containing moving objects in TESS image time-series data. By augmenting the