BRSTD: Bio-inspired Remote Sensing Tiny object Detection
S Huang, C Lin, X Jiang, Z Qu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In aerial images captured by drones or satellite remote sensing images, object information is
weak and difficult to distinguish from the background, with significant variations in object …
weak and difficult to distinguish from the background, with significant variations in object …
Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection
Moving infrared small target detection presents significant challenges due to tiny target sizes
and low contrast against backgrounds. Currently-existing methods primarily focus on …
and low contrast against backgrounds. Currently-existing methods primarily focus on …
Iterative Saliency Aggregation and Assignment Network for Efficient Salient Object Detection in Optical Remote Sensing Images
Z Yao, W Gao - IEEE Transactions on Geoscience and Remote …, 2024 - ieeexplore.ieee.org
Motivated by the pursuit of efficient salient object detection in remote sensing, researchers
have devoted considerable efforts to devising lightweight models due to low running …
have devoted considerable efforts to devising lightweight models due to low running …
Location-Guided Dense Nested Attention Network for Infrared Small Target Detection
H Guo, N Zhang, J Zhang, W Zhang… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Infrared Small Target (IST) detection involves identifying objects that occupy fewer than
81pixels in a 256× 256 image. Because the target is small and lacks texture, structure, and …
81pixels in a 256× 256 image. Because the target is small and lacks texture, structure, and …
Deformable Feature Alignment and Refinement for Moving Infrared Dim-small Target Detection
The detection of moving infrared dim-small targets has been a challenging and prevalent
research topic. The current state-of-the-art methods are mainly based on ConvLSTM to …
research topic. The current state-of-the-art methods are mainly based on ConvLSTM to …
Dual-channel feature extraction hybrid attention network for detecting infrared small targets
S Nie, J Cao, J Miao, H Hou… - Measurement …, 2024 - xn--www-vt23b.iopscience.iop.org
For military early warning, forest fire prevention, and maritime search and rescue, infrared
small target detection is critical. However, because of the low contrast and inconspicuous …
small target detection is critical. However, because of the low contrast and inconspicuous …
Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision
W He, M Liu, Y Yu, Z Lu, X Li - arXiv preprint arXiv:2409.04011, 2024 - arxiv.org
Single-frame infrared small target (SIRST) detection poses a significant challenge due to the
requirement to discern minute targets amidst complex infrared background clutter. Recently …
requirement to discern minute targets amidst complex infrared background clutter. Recently …