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Towards Real-Time Object Detection on Embedded Systems.

H. Mao, S. Yao, T. Tang, B. Li, J. Yao, and Y. Wang. IEEE Trans. Emerging Topics Comput., 6 (3): 417-431 (2018)

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Towards Real-Time Object Detection on Embedded Systems.H. Mao, S. Yao, T. Tang, B. Li, J. Yao, and Y. Wang. IEEE Trans. Emerging Topics Comput., 6 (3): 417-431 (2018)Trained Ternary Quantization.C. Zhu, S. Han, H. Mao, and W. Dally. ICLR (Poster), OpenReview.net, (2017)EIE: Efficient Inference Engine on Compressed Deep Neural Network.S. Han, X. Liu, H. Mao, J. Pu, A. Pedram, M. Horowitz, and W. Dally. ISCA, page 243-254. IEEE Computer Society, (2016)DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow.S. Han, J. Pool, S. Narang, H. Mao, S. Tang, E. Elsen, B. Catanzaro, J. Tran, and W. Dally. CoRR, (2016)Efficient Sparse-Winograd Convolutional Neural Networks.X. Liu, S. Han, H. Mao, and W. Dally. ICLR (Workshop), OpenReview.net, (2017)Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding.S. Han, H. Mao, and W. Dally. ICLR, (2016)DSD: Dense-Sparse-Dense Training for Deep Neural Networks.S. Han, J. Pool, S. Narang, H. Mao, E. Gong, S. Tang, E. Elsen, P. Vajda, M. Paluri, J. Tran and 2 other author(s). ICLR (Poster), OpenReview.net, (2017)Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.Y. Lin, S. Han, H. Mao, Y. Wang, and B. Dally. ICLR (Poster), OpenReview.net, (2018)Rebooting Computing and Low-Power Image Recognition Challenge.Y. Lu, A. Kadin, A. Berg, T. Conte, E. DeBenedictis, R. Garg, G. Gingade, B. Hoang, Y. Huang, B. Li and 10 other author(s). ICCAD, page 927-932. IEEE, (2015)ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA.S. Han, J. Kang, H. Mao, Y. Hu, X. Li, Y. Li, D. Xie, H. Luo, S. Yao, Y. Wang and 2 other author(s). CoRR, (2016)

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Towards Real-Time Object Detection on Embedded Systems.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards Real-Time Object Detection on Embedded Systems.

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Towards Real-Time Object Detection on Embedded Systems.