Results 21 to 30 of about 1,135,336 (304)
MPE-YOLO: enhanced small target detection in aerial imaging [PDF]
Scientific ReportsAerial image target detection is essential for urban planning, traffic monitoring, and disaster assessment. However, existing detection algorithms struggle with small target recognition and accuracy in complex environments.
Jia Su, Yichang Qin, Ze Jia, Ben Liang
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An Improved SSD for small target detection [PDF]
2021 6th International Conference on Multimedia and Image Processing, 2021 SSD is one of heuristic one-stage target detection approaches. Although it has got impressive results in general target detection, it still struggles in small-size object detection and precise location. In this paper, we proposed an improved SSD which forces on the small-size target detection.
Xiang Li, Haibo Luo
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YOLOX++ for Transmission Line Abnormal Target Detection
IEEE Access, 2023 The detection of abnormal targets in transmission lines plays a significant role in maintaining the stability and safety of transmission systems. To achieve improved detection performance for abnormal targets, we propose a new target detector based on ...
Zhongqin Bi +3 more
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Micromachines, 2023 Space vehicles such as missiles and aircraft have relatively long tracking distances. Infrared (IR) detectors are used for small target detection. The target presents point target characteristics, which lack contour, shape, and texture information.
Juan Chen +6 more
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UAV Target Detection Algorithm Based on Improved YOLOv8
IEEE Access, 2023 Since UAVs usually fly at higher altitudes, resulting in a more significant proportion of small targets after imaging, this poses a challenge to the target detection algorithm at this stage; in addition, the high-speed flight of UAVs causes a sense of ...
Feng Wang +3 more
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CourtNet for Infrared Small-Target Detection
CoRR, 2022 Infrared small-target detection (ISTD) is an important computer vision task. ISTD aims at separating small targets from complex background clutter. The infrared radiation decays over distances, making the targets highly dim and prone to confusion with the background clutter, which makes the detector challenging to balance the precision and recall rate.
Jingchao Peng +4 more
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Discriminative Autoencoders for Small Targets Detection [PDF]
2014 22nd International Conference on Pattern Recognition, 2014 This paper introduces the new concept of discriminative autoencoders. In contrast with the standard autoencoders -- which are artificial neural networks used to learn compressed representation for a set of data -- discriminative autoencoders aim at learning low-dimensional discriminant encodings using two classes of data (denoted such as the positive ...
Razakarivony, Sebastien +1 more
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Remote Sensing, 2022 Buildings bear much of the damage from natural disasters, and determining the extent of this damage is of great importance to post-disaster emergency relief.
Zhengbo Yu +7 more
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Small Target Detection Based on Improved SSD Algorithm [PDF]
Jisuanji gongcheng, 2023 SSD is a classical single-stage target detection algorithm that makes prediction by generating six scale feature maps on different convolutional layers.
Shan WU, Feng ZHOU
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ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image
Remote Sensing, 2021 Detection of small targets in aerial images is still a difficult problem due to the low resolution and background-like targets. With the recent development of object detection technology, efficient and high-performance detector techniques have been ...
Munhyeong Kim, Jongmin Jeong, Sungho Kim
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