Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision
Author:
Affiliation:
1. School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
2. Department of Computer Science, Loyola University Chicago, Chicago, IL, USA
3. West Lafayette Junior-Senior High School, West Lafayette, IN, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Software
Link
https://ieeexplore.ieee.org/ielam/6221038/10106531/9935301-aam.pdf
Reference13 articles.
1. YOLOv3: An incremental improvement;redmon;arXiv 1804 02767,2018
2. Faster R-CNN: Towards real-time object detection with region proposal networks;ren;arXiv 1506 01497,2015
3. B-CNN: Branch convolutional neural network for hierarchical classification;zhu;arXiv 1709 09890,2017
4. Benchmark Analysis of Representative Deep Neural Network Architectures
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