8 papers
Effective Receptive Field Ordering Matters for Infrared Small Target Detection
Guoyi Zhang, Yanjin Du, Zhengyao Zhao +6
In this work, we investigate a previously unexplored architectural dimension for infrared small target detection: the organization of effective receptive fields (ERFs) during featu…
Decoupled Motion Representation Learning for Moving Infrared Small Target Detection
Guoyi Zhang, Peiwen Wu, Han Wang +2
Infrared small target detection in dynamic scenes remains challenging due to the highly coupled motions among targets, imaging platforms, and dynamic backgrounds. Existing multi-fr…
It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank Representations
Guoyi Zhang, Guangsheng Xu, Siyang Chen +2
\textcolor{blue}{This is the pre-acceptance version, to read the final version please go to \href{https://ieeexplore.ieee.org/document/11156113}{IEEE Transactions on Geoscience and…
You Only Look Omni Gradient Backpropagation for Moving Infrared Small Target Detection
Guoyi Zhang, Guangsheng Xu, Siyang Chen +2
Moving infrared small target detection is a key component of infrared search and tracking systems, yet it remains extremely challenging due to low signal-to-clutter ratios, severe…
LSP-ST: Ladder Shape-Biased Side-Tuning for Robust Infrared Small Target Detection
Guoyi Zhang, Siyang Chen, Guangsheng Xu +3
Fine-tuning the Segment Anything Model (SAM) for infrared small target detection poses significant challenges due to severe domain shifts. Existing adaptation methods often incorpo…
Beyond Motion Cues and Structural Sparsity: Revisiting Small Moving Target Detection
Guoyi Zhang, Siyang Chen, Guangsheng Xu +3
Small moving target detection is crucial for many defense applications but remains highly challenging due to low signal-to-noise ratios, ambiguous visual cues, and cluttered backgr…