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ESOD: Efficient Small Object Detection on High-Resolution Images

IEEE Transactions on Image Processing
Enlarging input images is a straightforward and effective approach to promote small object detection. However, simple image enlargement is significantly expensive on both computations and GPU memory.
Kai Liu   +7 more
semanticscholar   +1 more source

BGF-YOLOv10: Small Object Detection Algorithm from Unmanned Aerial Vehicle Perspective Based on Improved YOLOv10

Italian National Conference on Sensors
With the rapid development of deep learning, unmanned aerial vehicles (UAVs) have acquired intelligent perception capabilities, demonstrating efficient data collection across various fields.
Junhui Mei, Wenqiu Zhu
semanticscholar   +1 more source

Improving small object detection with DETRAug

2023 International Joint Conference on Neural Networks (IJCNN), 2023
Evair Cunha   +2 more
openaire   +1 more source

Ensemble Fusion for Small Object Detection

2023 18th International Conference on Machine Vision and Applications (MVA), 2023
Hao-Yu Hou   +7 more
openaire   +1 more source

Small Object Detection with Improved CenterNet

2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 2021
Jie Xu   +5 more
openaire   +1 more source

Motion Detection of Small Objects

2016
The paper describes a problem of detection small moving objects. A size of these objects is only one or few pixels. Relevant mathematical apparatus which are usually used for processing of dynamic pictures are included. There was proposed experimental module for standalone locator for real time operation.
openaire   +1 more source

Small Object Detection in Aerial Images

2021 IEEE 14th International Conference on ASIC (ASICON), 2021
Ruoyu Zhang   +3 more
openaire   +1 more source

Deep learning-based small object detection

Journal of the Institute of Electronics and Information Engineers, 2018
Jun Ho Choi   +3 more
openaire   +1 more source

Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications

Intelligent Systems with Applications
Mahya Nikouei   +6 more
semanticscholar   +1 more source

Precision and speed: LSOD-YOLO for lightweight small object detection

Expert systems with applications
Hezheng Wang   +4 more
semanticscholar   +1 more source

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