Sanghyun Jo 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	129	129
h 指数	4	4
i10 指数	4	4

0

60

30

202020212022202320241 5 34 59 30

合著作者

In-Jae YuSamsung Electronics在 samsung.com 的电子邮件经过验证
Kyungsu KimHarvard Medical School and Massachusetts General Hospital在 mgh.harvard.edu 的电子邮件经过验证
Fei PanResearch Fellow at EECS, University of Michigan在 umich.edu 的电子邮件经过验证
Eunho YangKAIST在 kaist.ac.kr 的电子邮件经过验证

Sanghyun Jo

Sanghyun Jo

OGQ

在 ogqcorp.com 的电子邮件经过验证 - 首页

Weakly Supervised Learning Open-vocabulary Learning Generative AI


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Puzzle-cam: Improved localization via matching partial and full features S Jo, IJ Yu 2021 IEEE international conference on image processing (ICIP), 639-643, 2021	97	2021
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks S Jo, IJ Yu, K Kim arXiv preprint arXiv:2204.06754, 2022	12*	2022
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation S Jo, IJ Yu, K Kim ICCV 2023, 2023	10	2023
RecurSeed and CertainMix for Weakly Supervised Semantic Segmentation S Jo, IJ Yu, K Kim arXiv preprint arXiv:2204.06754 1, 2022	10	2022
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias S Jo, S Ryu, S Kim, E Yang, K Kim arXiv preprint arXiv:2404.00384, 2024		2024
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter-and Intra-Class Regions for Weakly-Supervised Semantic Segmentation S Jo, F Pan, IJ Yu, K Kim arXiv preprint arXiv:2404.00380, 2024		2024
Supplementary Material MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation S Jo, IJ Yu, K Kim

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