Li, Yixing, Liu, Zichuan, Liu, Wenye, Jiang, Yu, Wang, Yongliang, Goh, Wang Ling, Yu, Hao, and Ren, Fengbo. A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing. Retrieved from https://par.nsf.gov/biblio/10090183. IEEE Transactions on Industrial Electronics . Web. doi:10.1109/TIE.2018.2875643.

Li, Yixing, Liu, Zichuan, Liu, Wenye, Jiang, Yu, Wang, Yongliang, Goh, Wang Ling, Yu, Hao, & Ren, Fengbo. A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing. IEEE Transactions on Industrial Electronics, (). Retrieved from https://par.nsf.gov/biblio/10090183. https://doi.org/10.1109/TIE.2018.2875643

Li, Yixing, Liu, Zichuan, Liu, Wenye, Jiang, Yu, Wang, Yongliang, Goh, Wang Ling, Yu, Hao, and Ren, Fengbo. "A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing". IEEE Transactions on Industrial Electronics (). Country unknown/Code not available. https://doi.org/10.1109/TIE.2018.2875643. https://par.nsf.gov/biblio/10090183.

@article{osti_10090183,
place = {Country unknown/Code not available}, title = {A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing}, url = {https://par.nsf.gov/biblio/10090183}, DOI = {10.1109/TIE.2018.2875643}, abstractNote = {}, journal = {IEEE Transactions on Industrial Electronics}, author = {Li, Yixing and Liu, Zichuan and Liu, Wenye and Jiang, Yu and Wang, Yongliang and Goh, Wang Ling and Yu, Hao and Ren, Fengbo}, }