Latent Replay Detection: Memory-Efficient Continual Object Detection on Microcontrollers via Task-Adaptive Compression

This paper introduces Latent Replay Detection, a memory-efficient approach for continual object detection on microcontrollers. It leverages task-adaptive compression to mitigate catastrophic forgetting, crucial for deploying adaptive AI systems on edge devices that learn over time.