- 요약
- Abstract
- 1. 서론
- 2. 관련 연구
- 3. 제안 방법
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https://www.riss.kr/link?id=A106606895
2020
Korean
569
KCI우수등재
학술저널
276-282(7쪽)
0
0
상세조회0
다운로드목차 (Table of Contents)
참고문헌 (Reference)
1 Zhang, Xiangyu, "Shufflenet: An extremely efficient convolutional neural network for mobile devices" 6848-6856, 2018
2 Ma, Ningning, "Shufflenet v2 : Practical guidelines for efficient cnn architecture design" 116-131, 2018
3 Shwartz-Ziv, Ravid, "Opening the black box of deep neural networks via information"
4 Sandler, Mark, "Mobilenetv2: Inverted residuals and linear bottlenecks" 4510-4520, 2018
5 A. G. Howard, "Mobilenets : Efficient convolutional neural networks for mobile vision applications"
6 Tan, Mingxing, "Mnasnet : Platform-aware neural architecture search for mobile" 2820-2828, 2019
7 Tsung-Yi Lin, "Microsoft coco : Common objects in context" 740-755, 2014
8 Krizhevsky, Alex, "Learning multiple layers of features from tiny images" University of Toronto 2009
9 Raid, A. M., "Jpeg image compression using discrete cosine transform-A survey"
10 Szegedy, Christian, "Inception-v4, inceptionresnet and the impact of residual connections on learning" 2017
1 Zhang, Xiangyu, "Shufflenet: An extremely efficient convolutional neural network for mobile devices" 6848-6856, 2018
2 Ma, Ningning, "Shufflenet v2 : Practical guidelines for efficient cnn architecture design" 116-131, 2018
3 Shwartz-Ziv, Ravid, "Opening the black box of deep neural networks via information"
4 Sandler, Mark, "Mobilenetv2: Inverted residuals and linear bottlenecks" 4510-4520, 2018
5 A. G. Howard, "Mobilenets : Efficient convolutional neural networks for mobile vision applications"
6 Tan, Mingxing, "Mnasnet : Platform-aware neural architecture search for mobile" 2820-2828, 2019
7 Tsung-Yi Lin, "Microsoft coco : Common objects in context" 740-755, 2014
8 Krizhevsky, Alex, "Learning multiple layers of features from tiny images" University of Toronto 2009
9 Raid, A. M., "Jpeg image compression using discrete cosine transform-A survey"
10 Szegedy, Christian, "Inception-v4, inceptionresnet and the impact of residual connections on learning" 2017
11 Jia Deng, "Imagenet: A large-scale hierarchical image database" 248-255, 2009
12 A. Krizhevsky, "Imagenet classification with deep convolutional neural networks" 1097-1105, 2012
13 Wu, Bichen, "Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search" 10734-10742, 2019
14 N. Ahmed, "Discrete cosine transform" C-25 : 90-93, 1974
15 Huang, Gao, "Densely Connected Convolutional Networks" 4700-4708, 2017
16 K. He, "Deep Residual Learning for Image Recognition" 770-778, 2016
17 Ioffe, Sergey, "Batch normalization:Accelerating deep network training by reducing internal covariate shift"
18 Canziani, Alfredo, "An analysis of deep neural network models for practical applications"
19 J. Makhoul, "A fast cosine transform in one and two dimensions" 28 (28): 27-34, 1980
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학술지 이력
연월일 | 이력구분 | 이력상세 | 등재구분 |
---|---|---|---|
2021 | 평가예정 | 계속평가 신청대상 (등재유지) | |
2016-01-01 | 평가 | 우수등재학술지 선정 (계속평가) | |
2015-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2002-01-01 | 평가 | 학술지 통합 (등재유지) |
학술지 인용정보
기준연도 | WOS-KCI 통합IF(2년) | KCIF(2년) | KCIF(3년) |
---|---|---|---|
2016 | 0.19 | 0.19 | 0.19 |
KCIF(4년) | KCIF(5년) | 중심성지수(3년) | 즉시성지수 |
0.2 | 0.18 | 0.373 | 0.07 |