On-Chip Memory Access Reduction for Energy-Efficient Dilated Convolution Processing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46077-7_34
Reference12 articles.
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4. Im, D., Han, D., Choi, S., Kang, S., Yoo, H.J.: DT-CNN: an energy-efficient dilated and transposed convolutional neural network processor for region of interest based image segmentation. IEEE Trans. Circ. Syst. I Regul. Pap. 67(10), 3471–3483 (2020)
5. Chang, K.W., Chang, T.S.: Efficient accelerator for dilated and transposed convolution with decomposition. In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5 (2020)
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