TriCCOT: Tri-part Convolutional Conformal Transformer for Onboard Space Object Detection
TriCCOT is introduced, a tri-part architecture for robust and deployable onboard object detection that combines a convolutional region proposal network, a conformal prediction stage, and Aper-GATES, the authors' hardware-friendly attention-based classifier, enabling unified CNN-Transformer inference for spaceborne embe...
A. Dorise, Marjorie Bellizzi, Julia F. Cohen et al.
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