지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보기술학회 JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE Journal of Advanced Information Technology and Convergence Vol.10 No.1
- 발행연도
- 2020.7
- 수록면
- 111 - 120 (10page)
- DOI
- 10.14801/jaitc.2020.10.1.111
이용수
초록· 키워드
오류제보하기
Generative adversarial networks (GANs) achieved impressive performance on image generation and visual classification applications. However, adversarial networks meet difficulties in combining the generative model and unstable training process. To overcome the problem, we combined the deep residual network with upsampling convolutional layers to construct the generative network. Moreover, the study shows that image generation and classification performance become more prominent when the residual layers include on the generator. The proposed network empirically shows that the ability to generate images with higher visual accuracy provided certain amounts of additional complexity using proper regularization techniques. Experimental evaluation shows that the proposed method is superior to image generation and classification tasks.
목차
Abstract
1. Introduction
2. Related Theories
3. Proposed Network
4. Experiments
5. Results
6. Conclusion
References
참고문헌 (20)
참고문헌 신청
E. L. Delton / 2015 / Advances Neural Information Processing Systems :1486~1494
H. Zhang / 2018 / StackGAN++ : Realistic Image Synthesis with Stacked Generative Adversarial Networks / IEEE Transactions on Pattern Analysis and Machine Intelligence 41(8):1947~1962
T. Karras / 2017 / Progressive Growing of GANs for Improved Quality, Stability, and Variation / arXiv preprint arXiv:1710.10196
김병주 / 2018 / Improved Deep Learning Algorithm / 한국정보기술학회 영문논문지 8(2):119~127
C. Szegedy / 2013 / Intriguing Properties of Neural Networks / arXiv preprint arXiv: 1312.6199
H. Zhang / 2018 / StackGAN++ : Realistic Image Synthesis with Stacked Generative Adversarial Networks / IEEE Transactions on Pattern Analysis and Machine Intelligence 41(8):1947~1962
T. Karras / 2017 / Progressive Growing of GANs for Improved Quality, Stability, and Variation / arXiv preprint arXiv:1710.10196
김병주 / 2018 / Improved Deep Learning Algorithm / 한국정보기술학회 영문논문지 8(2):119~127
C. Szegedy / 2013 / Intriguing Properties of Neural Networks / arXiv preprint arXiv: 1312.6199
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Infrared image generation based on Conditional Generative Adversarial Networks
한국지능정보시스템학회 학술대회논문집
2021 .12
-
A Comparative study on Generative Adversarial Network (GAN)
대한전자공학회 학술대회
2020 .11
-
Generative Adversarial Network를 이용한 야간 도로 영상 보정 시스템
한국방송미디어공학회 학술발표대회 논문집
2018 .06
-
High Representation based GAN defense for Adversarial Attack
International journal of advanced smart convergence
2019 .01
-
New Link Prediction Algorithm using Generative Adversarial Network(GAN)
대한산업공학회 춘계공동학술대회 논문집
2018 .04
-
차량 번호판 화질 개선을 위한 GAN 기반의 초해상도 기법
제어로봇시스템학회 논문지
2017 .08
-
GAN 알고리즘을 이용한 음악 생성
한국컴퓨터정보학회 학술발표논문집
2018 .07
-
Generation of Pedestrian Training Samples by Deep Convolutional Generative Adversarial Networks
정보 및 제어 논문집
2018 .10
-
A New Image Classification Method
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2021 .02
-
Convolution Layer에 따른 Generative Adversarial Network 성능 비교
대한전자공학회 학술대회
2019 .06
-
주성분 분석을 잠재공간에 적용한 최소제곱 오차 이미지 생성 네트워크
멀티미디어학회논문지
2023 .02
-
Generative Adversarial Network를 이용한 디지털 워터마킹 방법
한국방송미디어공학회 학술발표대회 논문집
2019 .11
-
원근 변환 기법을 통한 적대적 이미지의 전이성 향상
대한전자공학회 학술대회
2021 .11
-
Generative Adversarial Networks 를 이용한 다중 도메인 간 이미지 변환 기술
한국통신학회 학술대회논문집
2022 .11
-
Single Image Super Resolution Reconstruction Based on Recursive Residual Convolutional Neural Network
한국방송미디어공학회 학술발표대회 논문집
2019 .06
-
Generative Adversarial Network를 이용한 전립선암 진단용 임상데이터 합성 방법
한국정보과학회 학술발표논문집
2018 .06
-
GAN기반의 Semi Supervised Learning을 활용한 이미지 생성 및 분류
스마트미디어저널
2024 .03
-
AINN: Adversarial Instance Normalization Network for Image-to-Image Translation
Proceedings of KIIT Conference
2020 .10
-
Generative Adversarial Network을 이용한 스케치 기반 이미지 검색 시스템
한국정보과학회 학술발표논문집
2017 .12
-
Adversarial Sparsity Mapping Network to Defense Against Adversarial Attacks
Proceedings of KIIT Conference
2021 .06
이 논문의 저자 정보
이 논문과 함께 이용한 논문
K-TIHM: Korean Technology Integration Hierarchy Model for Teaching and Learning in STEAM Education
Chan Jung Pa
,
k
,
Jung Suk Hyun
JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE
2020
.12
Relationship between Course Evaluations and Learning Achievement for the Software Lecture in General Education
Hwa-Young Jeong
JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE
2020
.12
Factor Analysis of Visual Literacy Influencing Diagram Understanding and Drawing in Computer Science Education
Chan Jung Pa
,
k
,
Jung Suk Hyun
JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE
2019
.07
Generation of Pedestrian Training Samples by Deep Convolutional Generative Adversarial Networks
Han Xie
,
Yunfan Chen
,
Hyunchul Shin
정보 및 제어 논문집
2018
.10
최근 본 자료
댓글(0)
0