Browse by Title
Showing results 174241 to 174260 of 275604
| Self-supervised 3D Out-of-Distribution Detection via Pseudoanomaly Generation Cho, Jihoon; Kang, Inha; Park, Jinah, 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, pp.95 - 103, Springer International Publishing, 2021-09 |
| Self-supervised deep learning for improving efficiency of COVID-19 screening on chest X-ray = 코로나19 흉부 엑스레이 검사 효율성 향상을 위한 자기 지도 심층 학습link Han, Jisu; Yi, Mun Yong; et al, 한국과학기술원, 2020 |
| Self-Supervised Deep Monocular Depth Estimation With Ambiguity Boosting Bello, Juan Luis Gonzalez; Kim, Munchurl, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.9131 - 9149, 2022-12 |
| Self-Supervised Dense Consistency Regularization for Image-to-Image Translation Ko, Minsu; Cha, Eunju; Suh, Sungjoo; Lee, Huijin; Han, Jae-Joon; Shin, Jinwoo; Han, Bohyung, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.18280 - 18289, IEEE COMPUTER SOC, 2022-06 |
| Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Loss Shin, Ukcheol; Lee, Kyunghyun; Lee, Seokju; Kweon, In So, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.2, pp.1103 - 1110, 2022-04 |
| Self-supervised exploration for cooperative multi-agent reinforcement learning = 다중 에이전트 강화학습에서의 협력을 위한 자기지도 탐색기법link Delos Reyes, Roben; Yi, Yung; et al, 한국과학기술원, 2020 |
| Self-supervised graph representation learning via positive mining Lee, Namkyeong; Lee, Junseok; Park, Chanyoung, INFORMATION SCIENCES, v.611, pp.476 - 493, 2022-09 |
| Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks Hong, Seungbum; Yoon, Jihun; Choi, Min-Kook; Kim, Junmo, 22nd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp.2947 - 2956, IEEE COMPUTER SOC, 2022-01 |
| Self-supervised Label Augmentation via Input Transformations Lee, Hankook; Hwang, Sung Ju; Shin, Jinwoo, 37th International Conference on Machine Learning, ICML 2020, ICML 2020 committee, 2020-07-15 |
| Self-supervised learning for climate downscaling Singh, Karandeep; Jeong, Chaeyoon; Park, Sungwon; Babur, Arjun N; Zeller, E; Cha, Meeyoung, 2023 IEEE International Conference on Big Data and Smart Computing (BigComp), pp.13 - 17, Institute of Electrical and Electronics Engineers Inc., 2023-02-14 |
| Self-supervised learning for inter-laboratory variation minimization in surface-enhanced Raman scattering spectroscopy Park, Seongyong; Wahab, Abdul; Kim, Minseok; Khan, Shujaat, ANALYST, v.148, no.7, pp.1473 - 1482, 2023-03 |
| Self-supervised Learning for Medical Image 박진아; 강인하, 제36회 대한의학영상정보학회 학술대회, 대한의학영상정보학회, 2022-08-27 |
| Self-supervised Learning을 이용한 Outlier Detection 정해창; 주정우; 임준호; 김준모, 제30회 영상처리 및 이해에 관한 워크샵, 한국방송 미디어공학회, 2018-02-08 |
| Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue Lee, Seokju; Rameau, Francois; Im, Sunghoon; Kweon, In So, INTERNATIONAL JOURNAL OF COMPUTER VISION, v.130, no.9, pp.2265 - 2285, 2022-09 |
| Self-supervised monocular depth estimation by distilling depth consistency = 증류 기반의 깊이맵 일관성을 활용한 자기지도학습 단안 카메라의 깊이맵 추정link Lee, Sebin; Yoon, Sung-Eui; et al, 한국과학기술원, 2022 |
| Self-supervised monocular depth estimation with learned-depth-prior-based disentanglement of moving objects from camera ego motion = 단시점 깊이 자기지도 학습을 위한 깊이 사전지식 기반 물체 움직임 분리link Moon, Jaeho; Kim, Munchurl; et al, 한국과학기술원, 2023 |
| Self-Supervised Monocular Depth Estimation with Positional Shift Depth Variance and Adaptive Disparity Quantization Juan Luis, Gonzalez Bello; 문재호; Kim, Munchurl, IEEE Transactions on Image Processing, v.33, pp.2074 - 2089, 2024-03 |
| Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology Park, Sangjoon; Lee, Eun Sun; Shin, Kyung Sook; Lee, Jeong Eun; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01 |
| Self-supervised representation learning for visual anomaly detection = 시각적 이상 감지를 위한 자기 지도 표현 학습link Ali, Rabia; Je, Minkyu; et al, 한국과학기술원, 2020 |
| Self-supervised Robust Anomaly Detection with Hard Augmentation Cho, Jihoon; Kang, Inha; Park, Jinah, 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, Springer Science and Business Media Deutschland GmbH, 2021-10-01 |
Discover
Type
Open Access
Date issued
- 30,917 2020 - 2024
- 100,009 2010 - 2019
- 75,681 2000 - 2009
- 44,727 1990 - 1999
- 14,360 1980 - 1989
- 62 1964 - 1969