UIU-Net: U-Net in U-Net for Infrared Small Object Detection [PDF]
IEEE Transactions on Image Processing, 2022 Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability limitations as the network depth increases.
Xin Wu, D. Hong, J. Chanussot
semanticscholar +1 more source
Improving small objects detection using transformer [PDF]
Journal of Visual Communication and Image Representation, 2021 General artificial intelligence is a trade-off between the inductive bias of an algorithm and its out-of-distribution generalization performance. The conspicuous impact of inductive bias is an unceasing trend of improved predictions in various problems in computer vision like object detection.
Moongu Jeon +3 more
openaire +3 more sources
LEAD-YOLO: A Lightweight and Accurate Network for Small Object Detection in Autonomous Driving [PDF]
Sensors (Basel)Yunchuan Yang, Shubin Yang, Qiqing Chan
europepmc +3 more sources
CSSDet: small object detection via cross-scale feature enhancement on drone-view images
International Journal of Digital EarthObject detection on drone-view images is vital for applications like intelligent transportation, abnormal behavior detection, and urban surveillance. However, the diverse perspectives and altitudes from which Unmanned Aerial Vehicle (UAV) capture scenes ...
Gui Cheng +6 more
openalex +3 more sources
Small Object Detection Based on Deep Convolutional Neural Networks:A Review [PDF]
Jisuanji kexue, 2022 Small object detection has long been one of the most challenging problems in computer vision.Since small objects have the characteristics of small coverage area,low resolution,and lack of feature information,their detection effect is not ideal compared ...
DU Zi-wei, ZHOU Heng, LI Cheng-yang, LI Zhong-bo, XIE Yong-qiang, DONG Yu-chen, QI Jin
doaj +1 more source
GMG-LDefmamba-YOLO: An Improved YOLOv11 Algorithm Based on Gear-Shaped Convolution and a Linear-Deformable Mamba Model for Small Object Detection in UAV Images. [PDF]
Sensors (Basel)Yang Y, Yan L, Wang J, Liu J, Tang X.
europepmc +3 more sources
Transformer Object Detection Algorithm Based on Multi-granularity [PDF]
Jisuanji kexue, 2023 Different from other scale objects,small objects have the characteristics of carrying less semantic information and a small number of training samples.Therefore,the current object detection algorithm has the problem of low detection accuracy for small ...
XU Fang, MIAO Duoqian, ZHANG Hongyun
doaj +1 more source
PCPE-YOLO with a lightweight dynamically reconfigurable backbone for small object detection. [PDF]
Sci RepIn the domain of object detection, small object detection remains a pressing challenge, as existing approaches often suffer from limited accuracy, high model complexity, and difficulty meeting lightweight deployment requirements.
Chen W, Liu J, Liu T, Zhuang Y.
europepmc +2 more sources
Towards Large-Scale Small Object Detection: Survey and Benchmarks [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 With the rise of deep convolutional neural networks, object detection has achieved prominent advances in past years. However, such prosperity could not camouflage the unsatisfactory situation of Small Object Detection (SOD), one of the notoriously ...
Gong Cheng +5 more
semanticscholar +1 more source
Small Object Detection in 3D Urban Scenes [PDF]
Jisuanji kexue, 2022 3D object detection is the core of semantic analysis in 3D urban scenes,but the existing object detection methods mainly focus on large objects such as buildings and roads,while the detection accuracy of these methods for small objects such as street ...
CHEN Jia-zhou, ZHAO Yi-bo, XU Yang-hui, MA Ji, JIN Ling-feng, QIN Xu-jia
doaj +1 more source