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Unsupervised self-optimization learning for moving infrared small target detection

delete2026-09-01
delete0
PRE
AI
S
Shengjia Chen
L
Luping Ji *
S
Shuang Peng
S
Sicheng Zhu
M
Mao Ye
DOI：10.1016/j.patcog.2026.114730delete
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Abstract

Abstract

En 中文
• The new end-to-end unsupervised framework for MISTD is proposed. • A new spatio-temporal pseudo-label generation scheme is designed. • A motion-guided label filtering strategy is devised to refine pseudo-labels.
Keywords:
Moving infrared small target detection
Unsupervised self-optimization learning
Pseudo-label generation
Decoupled learning
Motion-guided label filtering

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

No organization information available