Ding, Caiwen, Wang, Shuo, Liu, Ning, Xu, Kaidi, Wang, Yanzhi, and Liang, Yun. REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. Retrieved from https://par.nsf.gov/biblio/10119281. FPGA '19 Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays . Web. doi:10.1145/3289602.3293904.

Ding, Caiwen, Wang, Shuo, Liu, Ning, Xu, Kaidi, Wang, Yanzhi, & Liang, Yun. REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. FPGA '19 Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, (). Retrieved from https://par.nsf.gov/biblio/10119281. https://doi.org/10.1145/3289602.3293904

Ding, Caiwen, Wang, Shuo, Liu, Ning, Xu, Kaidi, Wang, Yanzhi, and Liang, Yun. "REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs". FPGA '19 Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (). Country unknown/Code not available. https://doi.org/10.1145/3289602.3293904. https://par.nsf.gov/biblio/10119281.

@article{osti_10119281,
place = {Country unknown/Code not available}, title = {REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs}, url = {https://par.nsf.gov/biblio/10119281}, DOI = {10.1145/3289602.3293904}, abstractNote = {}, journal = {FPGA '19 Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays}, author = {Ding, Caiwen and Wang, Shuo and Liu, Ning and Xu, Kaidi and Wang, Yanzhi and Liang, Yun}, }