क्यूआर कोड

Modeling and Correction of Label Noise Uncertainty for SAR ATR

The success of deep supervised learning in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) relies on a large number of labeled samples. However, label noise often exists in large-scale datasets, which highly influence network training. This study proposes loss curve fitting-based l...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Yue YU, Chen WANG, Jun SHI, Chongben TAO, Liang LI, Xinxin TANG, Liming ZHOU, Shunjun WEI, Xiaoling ZHANG
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: China Science Publishing & Media Ltd. (CSPM) 2024-10-01
श्रृंखला:Leida xuebao
विषय:
synthetic aperture radar (sar)
label noise
label noise correction
label noise uncertainty modeling
fuzzy clustering algorithm
ऑनलाइन पहुंच:https://radars.ac.cn/cn/article/doi/10.12000/JR24130
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