Results 31 to 40 of about 1,485,416 (350)
Italian National Conference on Sensors, 2023 Unmanned aerial vehicle (UAV) object detection plays a crucial role in civil, commercial, and military domains. However, the high proportion of small objects in UAV images and the limited platform resources lead to the low accuracy of most of the ...
G. Wang +5 more
semanticscholar +1 more source
Small Object Detection Based on Improved YOLOv7 [PDF]
Jisuanji gongcheng, 2023 Despite advancements in object detection technology, Small Object Detection(SOD) is still difficult to research.To address the challenge of easily missing detection in the process of object detection, this study proposes an improved YOLOv7 object ...
QI Linglong, GAO Jianling
doaj +1 more source
YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery. [PDF]
Sensors (Basel)Zhang G, Peng Y, Li J.
europepmc +3 more sources
Small Object Detection Based on Stereo Vision
International Journal of Automotive Engineering, 2016 Small size objects which dimensions are around 0.15m are one of the major security risks to driving vehicles in the highway. Lidar and radar are hard to detect this kind of objects due to the sparsity of their detecting signal.
Qian Long +4 more
openalex +4 more sources
Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
Remote Sensing, 2023 With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
Xuan Wang +4 more
doaj +1 more source
Centered Multi-Task Generative Adversarial Network for Small Object Detection
Sensors, 2021 Despite the breakthroughs in accuracy and efficiency of object detection using deep neural networks, the performance of small object detection is far from satisfactory. Gaze estimation has developed significantly due to the development of visual sensors.
Hongfeng Wang +3 more
doaj +1 more source
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 While general object detection with deep learning has achieved great success in the past few years, the performance and efficiency of detecting small objects are far from satisfactory.
Chenhongyi Yang +2 more
semanticscholar +1 more source
MC-YOLOv5: A Multi-Class Small Object Detection Algorithm
Biomimetics, 2023 The detection of multi-class small objects poses a significant challenge in the field of computer vision. While the original YOLOv5 algorithm is more suited for detecting full-scale objects, it may not perform optimally for this specific task. To address
Haonan Chen +6 more
doaj +1 more source
Small object detection neurons in female hoverflies [PDF]
Proceedings of the Royal Society B: Biological Sciences, 2006 While predators such as dragonflies are dependent on visual detection of moving prey, social interactions make conspecific detection equally important for many non-predatory insects. Specialized ‘acute zones’ associated with target detection have evolved in several insect groups and are a prominent male-specific feature in many dipteran flies.
Nordstrom, K., O'Carroll, D.
openaire +3 more sources
SSDLiteX: Enhancing SSDLite for Small Object Detection
Applied Sciences, 2023 Object detection in many real applications requires the capability of detecting small objects in a system with limited resources. Convolutional neural networks (CNNs) show high performance in object detection, but they are not adequate to resource ...
Hyeong-Ju Kang
doaj +1 more source