AHC applies meta-learned hierarchical compression with dual memory banks to enable continual object detection on MCUs under a 100KB budget, backed by a forgetting bound of O(ε√T + 1/√M) and competitive results on CORe50, TiROD, and PASCAL VOC.
Tinyml: Machine learning with tensorflow lite on arduino and ultra-low-power microcontrollers
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AHC: Meta-Learned Adaptive Compression for Continual Object Detection on Memory-Constrained Microcontrollers
AHC applies meta-learned hierarchical compression with dual memory banks to enable continual object detection on MCUs under a 100KB budget, backed by a forgetting bound of O(ε√T + 1/√M) and competitive results on CORe50, TiROD, and PASCAL VOC.