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Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms.

, , , , , and . DATE, page 1703-1708. IEEE, (2019)

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Integer ConvNets on Embedded CPUs: Tools and Performance Assessment on the Cortex-A Cores., , , and . ICECS, page 598-601. IEEE, (2019)EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets., , and . AICAS, page 233-237. IEEE, (2020)Adaptive Test-Time Augmentation for Low-Power CPU., , , , and . CoRR, (2021)Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting., , , and . AIIoT, page 427-433. IEEE, (2023)Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms., , , , , and . DATE, page 1703-1708. IEEE, (2019)Energy-performance design exploration of a low-power microprogrammed deep-learning accelerator., , , , and . DATE, page 1151-1154. IEEE, (2018)Beyond Ideal DVFS Through Ultra-Fine Grain Vdd-Hopping., , , , and . VLSI-SoC (Selected Papers), volume 508 of IFIP Advances in Information and Communication Technology, page 152-172. Springer, (2016)Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets., , , and . SNAMS, page 454-459. IEEE, (2019)Monocular Depth Perception on Microcontrollers for Edge Applications., , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (3): 1524-1536 (2022)Enabling monocular depth perception at the very edge., , , , , , and . CVPR Workshops, page 1581-1583. Computer Vision Foundation / IEEE, (2020)