Learning algorithm with noisy labels for video frame classification

被引：0

作者：

Lee, Junggi ^{[1
]}

Kong, Kyeongbo ^{[1
]}

Song, Woo-Jin ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Dept Elect Engn, San 31, Pohang 37673, South Korea

来源：

JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY | 2020年 / 28卷 / 12期

关键词：

Deep learning; noisy label; semisupervised learning; temporal information; video frame classification; MOTION-ESTIMATION;

D O I：

10.1002/jsid.959

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose Recycling+, an algorithm that uses temporal information for video frame classification with noisy label. With the proposed algorithm, the network can be trained robustly through not only clean samples with original labels but also noisy samples with corrected labels obtained by temporal average predictions.

引用

页码：997 / 1002

页数：6

共 50 条

[41] Learning Multi-Level Consistency for Noisy Labels
Tong, Ziye
Xi, Wei
2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
[42] Learning With Noisy Labels by Semantic and Feature Space Collaboration
Lin, Han
Li, Yingjian
Zhang, Zheng
Zhu, Lei
Xu, Yong
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (08) : 7190 - 7201
[43] Data fusing and joint training for learning with noisy labels
Yi Wei
Mei Xue
Xin Liu
Pengxiang Xu
Frontiers of Computer Science, 2022, 16
[44] Tongue Color Classification in TCM with Noisy Labels via Confident-Learning-Assisted Knowledge Distillation
Li, Yanping
Zhuo, Li
Sun, Liangliang
Zhang, Hui
Li, Xiaoguang
Yang, Yang
Wei, Wei
CHINESE JOURNAL OF ELECTRONICS, 2023, 32 (01) : 140 - 150
[45] Data fusing and joint training for learning with noisy labels
WEI Yi
XUE Mei
LIU Xin
XU Pengxiang
Frontiers of Computer Science, 2022, 16 (06)
[46] CRAS: Curriculum Regularization and Adaptive Semi-Supervised Learning with Noisy Labels
Higashimoto, Ryota
Yoshida, Soh
Muneyasu, Mitsuji
APPLIED SCIENCES-BASEL, 2024, 14 (03):
[47] Combating Noisy Labels by Alleviating the Memorization of DNNs to Noisy Labels
Yuan, Shunjie
Li, Xinghua
Miao, Yinbin
Zhang, Haiyan
Liu, Ximeng
Deng, Robert H.
IEEE TRANSACTIONS ON MULTIMEDIA, 2025, 27 : 597 - 609
[48] NCMatch: Semi-supervised Learning with Noisy Labels via Noisy Sample Filter and Contrastive Learning
Sun, Yuanbo
Gao, Can
PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2023, PT VIII, 2024, 14432 : 15 - 27
[49] Attentive-Adaptive Network for Hyperspectral Images Classification With Noisy Labels
Wang, Leiquan
Zhu, Tongchuan
Kumar, Neeraj
Li, Zhongwei
Wu, Chunlei
Zhang, Peiying
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
[50] Robust Classification with Noisy Labels by Scaled Cross Entropy for Manufacturing Applications
2021 26TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2021,

← 1 2 3 4 5 →