Graph-based context learning network for infrared small target detection
Y Shen, Q Li, C Xu, C Chang, Q Yin - Neurocomputing, 2025 - Elsevier
Convolutional neural networks (CNNs) have shown remarkable performance in the field of
infrared small target detection. However, due to the limitation of local receptive field, existing …
infrared small target detection. However, due to the limitation of local receptive field, existing …
Beyond full label: single-point prompt for infrared small target label generation
Mdcenet: Multi-dimensional cross-enhanced network for infrared small target detection
Infrared small target detection (IRSTD) poses a persistent challenge due to the limited
proportion of target pixels and susceptibility to noise and clutter interference. To tackle these …
proportion of target pixels and susceptibility to noise and clutter interference. To tackle these …
MLP-Net: Multi-Layer Perceptron Fusion Network for Infrared Small Target Detection
Infrared small target detection (IRSTD) faces various challenges such as long distances,
weak features, and small scales. While methodologies based on convolutional neural …
weak features, and small scales. While methodologies based on convolutional neural …
The First Competition on Resource-Limited Infrared Small Target Detection Challenge: Methods and Results
In this paper, we briefly summarize the first competition on resource-limited infrared small
target detection (namely, LimitIRSTD). This competition has two tracks, including weakly …
target detection (namely, LimitIRSTD). This competition has two tracks, including weakly …
SMPISD-MTPNet: Scene Semantic Prior-Assisted Infrared Ship Detection Using Multi-Task Perception Networks
C Hu, X Dong, Y Huang, L Wang, L Xu… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Infrared ship detection (IRSD) is crucial for numerous applications but faces challenges,
such as small targets and complex backgrounds, resulting in misdetections and false …
such as small targets and complex backgrounds, resulting in misdetections and false …
Gradient is all you need: Gradient-based attention fusion for infrared small target detection
C Hu, Y Huang, K Li, L Zhang, Y Zhu, Y Peng… - arxiv preprint arxiv …, 2024 - arxiv.org
Infrared small target detection (IRSTD) is widely used in civilian and military applications.
However, IRSTD encounters several challenges, including the tendency for small and dim …
However, IRSTD encounters several challenges, including the tendency for small and dim …
Learning dynamic local context representations for infrared small target detection
G Zhang, G Xu, H Wang, S Chen, Y Shan… - arxiv preprint arxiv …, 2024 - arxiv.org
Infrared small target detection (ISTD) is challenging due to complex backgrounds, low signal-
to-clutter ratios, and varying target sizes and shapes. Effective detection relies on capturing …
to-clutter ratios, and varying target sizes and shapes. Effective detection relies on capturing …
Multi-scale adaptive YOLO for instance segmentation of grape pedicels
Q Shen, X Zhang, M Shen, D Xu - Computers and Electronics in Agriculture, 2025 - Elsevier
To address the presence of misdetections, missed detections, and segmentation errors that
easily occur in existing lightweight models when segmenting grape pedicels in vineyards …
easily occur in existing lightweight models when segmenting grape pedicels in vineyards …