2 citations · 4 across the 10 of their papers we have counts for
7 papers · 1 filter
Rethinking Infrared Small Target Detection: A Foundation-Driven Efficient Paradigm
Chuang Yu, Jinmiao Zhao, Yunpeng Liu +6
While large-scale visual foundation models (VFMs) exhibit strong generalization across diverse visual domains, their potential for single-frame infrared small target (SIRST) detect…
Why and How: Knowledge-Guided Learning for Cross-Spectral Image Patch Matching
Chuang Yu, Yunpeng Liu, Jinmiao Zhao +1
Recently, cross-spectral image patch matching based on feature relation learning has attracted extensive attention. However, performance bottleneck problems have gradually emerged…
From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision
Chuang Yu, Jinmiao Zhao, Yunpeng Liu +3
Recently, single-frame infrared small target (SIRST) detection with single point supervision has drawn wide-spread attention. However, the latest label evolution with single point…
LR-Net: A Lightweight and Robust Network for Infrared Small Target Detection
Chuang Yu, Yunpeng Liu, Jinmiao Zhao +1
Limited by equipment limitations and the lack of target intrinsic features, existing infrared small target detection methods have difficulty meeting actual comprehensive performanc…
Refined Infrared Small Target Detection Scheme with Single-Point Supervision
Jinmiao Zhao, Zelin Shi, Chuang Yu +1
Recently, infrared small target detection with single-point supervision has attracted extensive attention. However, the detection accuracy of existing methods has difficulty meetin…
Towards Robust Infrared Small Target Detection: A Feature-Enhanced and Sensitivity-Tunable Framework
Jinmiao Zhao, Zelin Shi, Chuang Yu +2
Recently, single-frame infrared small target (SIRST) detection technology has attracted widespread attention. Different from most existing deep learning-based methods that focus on…
Multi-Scale Direction-Aware Network for Infrared Small Target Detection
Jinmiao Zhao, Zelin Shi, Chuang Yu +3
Infrared small target detection faces the problem that it is difficult to effectively separate the background and the target. Existing deep learning-based methods focus on edge and…