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20172025
most citedGradient-Guided Learning Network for Infrared Small Target Detection

19 citations · 22 across the 5 of their papers we have counts for

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7 papers · 1 filter

cs.CV202519 cited

Gradient-Guided Learning Network for Infrared Small Target Detection

Jinmiao Zhao, Chuang Yu, Zelin Shi +2

Recently, infrared small target detection has attracted extensive attention. However, due to the small size and the lack of intrinsic features of infrared small targets, the existi…

cs.CV20241 cited

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…

cs.CV2024

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…

cs.CV20241 cited

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…

cs.CV20242 cited

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…

cs.CV2024

Relational Representation Learning Network for Cross-Spectral Image Patch Matching

Chuang Yu, Yunpeng Liu, Jinmiao Zhao +3

Recently, feature relation learning has drawn widespread attention in cross-spectral image patch matching. However, existing related research focuses on extracting diverse relation…