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EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion., and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion., and . CoRR, (2021)YOLOpeds: efficient real-time single-shot pedestrian detection for smart camera applications.. IET Comput. Vis., 14 (7): 417-425 (2020)Edge Intelligence: Challenges and Opportunities of Near-Sensor Machine Learning Applications., , , and . ASAP, page 1-7. IEEE Computer Society, (2018)True Rank Guided Efficient Neural Architecture Search for End to End Low-Complexity Network Discovery., , and . CAIP (1), volume 14184 of Lecture Notes in Computer Science, page 25-34. Springer, (2023)Emulation-based hierarchical fault-injection framework for coarse-to-fine vulnerability analysis of hardware-accelerated approximate algorithms., , , , and . DATE, page 830-833. IEEE, (2016)Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges., , , , , , and . ISVLSI, page 553-559. IEEE, (2019)In-field vulnerability analysis of hardware-accelerated computer vision applications., , , , and . FPL, page 1-4. IEEE, (2015)A Flexible Parallel Hardware Architecture for AdaBoost-Based Real-Time Object Detection., and . IEEE Trans. Very Large Scale Integr. Syst., 19 (6): 1034-1047 (2011)A Hardware-Efficient Architecture for Accurate Real-Time Disparity Map Estimation., , and . ACM Trans. Embed. Comput. Syst., 14 (2): 36:1-36:26 (2015)