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Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA., , , , , , and . FPT, page 227-230. IEEE, (2017)Towards Lower Bit Multiplication for Convolutional Neural Network Training., , , , , , and . CoRR, (2020)Efficient Computing Platform Design for Autonomous Driving Systems., , , , , , , , , and . ASP-DAC, page 734-741. ACM, (2021)Real-time object detection towards high power efficiency., , , , , , , , , and 1 other author(s). DATE, page 704-708. IEEE, (2018)Compressed CNN Training with FPGA-based Accelerator., , , , , , and . FPGA, page 189. ACM, (2019)Efficient Autonomous Driving System Design: From Software to Hardware., , , , , , , , and . ISVLSI, page 373-375. IEEE, (2022)Angel-Eye: A Complete Design Flow for Mapping CNN onto Customized Hardware., , , , , , and . ISVLSI, page 24-29. IEEE Computer Society, (2016)Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA., , , , , , , and . ACM Trans. Reconfigurable Technol. Syst., 11 (3): 22:1-22:23 (2018)Software-Hardware Codesign for Efficient Neural Network Acceleration., , , , , and . IEEE Micro, 37 (2): 18-25 (2017)Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud., , , , , , , and . FCCM, page 102-110. IEEE, (2020)