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About this paper
Miao Zhang, Mohamed Abdelsamad, Bin Yang, Sherif Abdulatif, Benedikt Loesch, Marco Altmann, Abhinav Valada, Bin Yang
The authors introduce L-SPMAE, a self-supervised method for 3D radar detection that predicts masked spectrum measurements from visible context, with added radar-inspired leakage corruption. Using RAD encoding and PTv3 on K-Radar’s official split, it reaches 55.9 APBEV and 50.1 AP3D, exceeding the strongest point-cloud SSL scores per metric; the split includes subsequences from the same sequences in training and testing.
Summary by alphaXiv.
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