A teacher-student pipeline trains a SECOND detector on clustering and heuristic pseudo-labels, but the claimed parity with human-annotated training is unsubstantiated.
Lumpi: The leibniz university multi-perspective intersection dataset
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DINOSTAR: Deep Iterative Neural Object Detector Self-Supervised Training for Roadside LiDAR Applications
A teacher-student pipeline trains a SECOND detector on clustering and heuristic pseudo-labels, but the claimed parity with human-annotated training is unsubstantiated.