A survey of accelerator architectures for 3D convolution neural networks
Author:
Funder
Semiconductor Research Corp
Publisher
Elsevier BV
Subject
Hardware and Architecture,Software
Reference45 articles.
1. J. Shen, D. Wang, Y. Huang, M. Wen, C. Zhang, Scale-out acceleration for 3D CNN-based lung nodule segmentation on a multi-FPGA system, in: Design Automation Conference, 2019, pp. 1–6.
2. 3D Image Classification from CT Scans, https://keras.io/examples/vision/3D_image_classification/ 2020.
3. H. Fan, X. Niu, Q. Liu, W. Luk, F-c3d: FPGA-based 3-dimensional convolutional neural network, in: International Conference on Field Programmable Logic and Applications (FPL), 2017, pp. 1–4.
4. H. Fan, H.-C. Ng, S. Liu, Z. Que, X. Niu, W. Luk, Reconfigurable acceleration of 3D-CNNs for human action recognition with block floating-point representation, in: International Conference on Field Programmable Logic and Applications (FPL), 2018, pp. 287–2877.
5. H. Fan, C. Luo, C. Zeng, M. Ferianc, Z. Que, S. Liu, X. Niu, W. Luk, F-E3D: FPGA-based acceleration of an efficient 3D convolutional neural network for human action recognition, in: IEEE 30th International Conference on Application-Specific Systems, Architectures and Processors (ASAP), vol. 2160, 2019, pp. 1–8.
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