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TriCCOT: Tri-part Convolutional Conformal Transformer for Onboard Space Object Detection
Onboard object detection in Earth observation is constrained by limited computational resources and the absence of fully corrected imagery. While convolutional detectors are hardware-efficient, they often struggle to extract robust representations from raw and noisy data. Conversely, transformer-bas
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