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| Order number | Title | Main content | Year |
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| 1 | Small object detection with random decision forests | A small target detection algorithm based on antimachine straight forest is proposed for small-shaped UAV target detection task, achieving 98.8% and 98.7% on single-day and multiday subsets of UIUC data sales | 2017 |
| 2 | Small object detection using context and attention | The multiscale features are concatenated and the additional features of different spreading are used as contexts, and a target detection algorithm combining the note checking force mechanism is also proposed, and the detection effect of both methods on small targets is higher than SSD | 2019 |
| 3 | Bond curated: Online semantic similarity small object detection in crowded scenes | Introducing a pairwise constraint referring to semantic eclipse and using the contextual information of candidate objects to improve the detection performance of tiny objects | 2019 |
| 4 | Lightweight small target detection algorithm based on improved SSD | Adding transposed volumetric station structure to SSD algorithm to improve small target detection | 2018 |
| 5 | An Atrous filter design to enhance the detection capability of small targets in SSD | Based on the SSD algorithm, the special evidence fusion of three or four convolutional layers is performed and undergoes a strong splitting of the empty volume to improve the accuracy and robustness of detection | 2019 |
| 6 | Real-time small target detection method based on improved PVANet | To improve the candidate pivot selection method to better locate small targets based on PVANet for real-time small target detection problem | 2020 |
| 7 | Multiscale Faster RCNN detection algorithm for small targets | Improve the structure of Faster RCNN network, while using the high- and low-level features of the network and use the crawler crawl data to increase or decrease the training data set | 2019 |
| 8 | A small object detection solution by using super-resolution recovery | Segmentation of original aerial images and semi-super resolution for enhancement using GAN | 2019 |
| 9 | TBC-Net: a real-time detector for infrared small target detection using semantic constraint | Proposing a lightweight slow network TBC-Ne for out-of-river small target detection, and adding high-level semantic constraint information of images in the training process to solve the problem of uneven streets of small target samples | 2019 |
| 10 | Multiscale convolutional feature fusion for SSD target detection algorithm | Regional amplification extraction of model low-level features and fusion with high-level features to improve small target detection | 2019 |
| 11 | Improvement of YOLO3 in aerial target detection | Reduce some of the convolution operations and introduce the jump connection on the basis of the original model to ensure the real-time performance | 2020 |
| 12 | Deep learning image target detection combined with note checking force mechanism | Introducing an attention mechanism module in the two-order strand detection model associated with subregion features and competitive height ratio properties | 2019 |
| 13 | Visual small object detection in SSD based on feature union | Fusing feature information from deep and found layers and adjusting the prior to small day marker size for better small target detection | 2020 |
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