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The severe on-chip memory limitations are currently preventing the deployment of the most accurate Deep Neural Network (DNN) models on tiny MicroController Units (MCUs), even if leveraging an effective 8-bit quantization scheme.
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Rastegari, M., Ordonez, V., Redmon, J., Farhadi, A.: Xnor-net: Imagenet classification using binary convolutional neural networks. In: European Conference on Computer Vision. pp. 525–542. Springer (2016)
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Jacob, B., Kligys, S., Chen, B., Zhu, M., Tang, M., Howard, A., Adam, H., Kalenichenko, D.: Quantization and training of neural networks for efficient integer-arithmetic-only inference. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2704–2713 (2018)
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2019
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2019
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Tan, M., Chen, B., Pang, R., Vasudevan, V., Sandler, M., Howard, A., Le, Q.V.: Mnasnet: Platform-aware neural architecture search for mobile. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2820–2828 (2019)
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Wang, K., Liu, Z., Lin, Y., Lin, J., Han, S.: Haq: Hardware-aware automated quantization with mixed precision. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
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Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: Mobilenetv2: Inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4510–4520 (2018)
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Zhang, X., Zhou, X., Lin, M., Sun, J.: Shufflenet: An extremely efficient convolutional neural network for mobile devices. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 6848–6856 (2018)
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2019
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2020
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Bruschi, N., Garofalo, A., Conti, F., Tagliavini, G., Rossi, D.: Enabling mixed-precision quantized neural networks in extreme-edge devices. In: Proceedings of the 17th ACM International Conference on Computing Frontiers. pp. 217–220 (2020)
2020
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Capotondi, A., Rusci, M., Fariselli, M., Benini, L.: Cmix-nn: Mixed low-precision cnn library for memory-constrained edge devices. IEEE Transactions on Circuits and Systems II: Express Briefs 67
2020
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