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Mask-guided SSD for small-object detection

Applied Intelligence, 2020
Detecting small objects is a challenging job for the single-shot multibox detector (SSD) model due to the limited information contained in features and complex background interference. Here, we increased the performance of the SSD for detecting target objects with small size by enhancing detection features with contextual information and introducing a ...
Chang Sun   +3 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 in Aerial Images

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

Small Object Detection in Highly Variable Backgrounds

2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), 2019
The analysis of imagery from outdoor remote sensing is a technique widely used for surveying and data gathering. This paper studies techniques to be deployed in small object localisation using Convolutional Neural Networks (CNN), with the aim to detect litter in outdoor non-urban imagery.
Michael Schembri, Dylan Seychell
openaire   +1 more source

Survey of small object detection

Journal of Image and Graphics, 2023
Xiaoying Pan   +3 more
openaire   +1 more source

Small-Object Detection for UAV-Based Images

2023 IEEE International Systems Conference (SysCon), 2023
Mingrui Yu, Henry Leung 0001
openaire   +1 more source

Few-Shot Object Detection: A Survey

ACM Computing Surveys, 2022
Daniele Pannone   +2 more
exaly  

Small Objects Detection Using Transformer-Cnn

SSRN Electronic Journal, 2022
Chun-Liang Lin   +2 more
openaire   +1 more source

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