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Found 2 papers, 1 papers with code
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
In autonomous and mobile robotics, a principal challenge is resilient real-time environmental perception, particularly in situations characterized by unknown and dynamic elements, as exemplified in the context of autonomous drone racing.
Class-incremental Learning for Time Series: Benchmark and Evaluation
Real-world environments are inherently non-stationary, frequently introducing new classes over time.
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