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