TinyML Demos

[arXiv] On-Device Training Under 256KB Memory

[arXiv] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation

[NeurIPS’21] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

[NeurIPS’21] MCUNetV2 Use Cases

[NeurIPS’20] MCUNet: Tiny Deep Learning on IoT Devices

[NeurIPS’19] Deep Leakage from Gradients