Architecture Design for Pedestrian Detection Based on Memory Grid Occupancy and Data Reuse

Author:

Yu Ke1,Baek JangWoo2,Yusupbaev Bobokhon1,Choi Jun Rim1

Affiliation:

1. School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,South Korea

2. School of Electronics Engineering, Kyungpook National University,Daegu,South Korea

Publisher

IEEE

Reference9 articles.

1. Object Detection With Deep Learning: A Review

2. Approximate Computing for DNN: Improving performance and energy efficiency of deep-learning hardware accelerators with controlled arithmetic approximations;Sentieys

3. Google Workloads for Consumer Devices

4. Memory-Tree Based Design of Optical Character Recognition in FPGA

5. A Survey of MRAM-Centric Computing: From Near Memory to In Memory

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