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Feature-enhanced small-target detection
Gao YuHang, Guo Hanasi
Detecting small targets from images is still a challenging problem in computer vision due
Based on Weak Light YOLOv3 Multi-Target Detection
Ding Aodi, Lukashevich, P.
Inside the real life scenarios, the YOLOv3 target detection model has achieved good results
Target-Target Perceptual Similarity Within the Attentional Blink
Makarov Ivan M.
was presented after five or six different lags after the first target. The task was to detect both targets
An infrared dim object detection algorithm based on feature refinement perception
Sun, Sh., Zhang, B., Chen, H.
target detection algorithm based on feature refinement perception.The feature refinement perception
Visual target detection algorithm YOLO and its application areas
Guo, Qicheng, Li, Bohan
YOLO (You Only Look Once) is an object detection algorithm based on deep neural networks, which
Target Detection and Recognition for Traffic Congestion in Smart Cities Using Deep Learning-Enabled UAVs: A Review and Analysis
Iftikhar S., Asim M., Zhang Z., Muthanna A., Chen J., El-Affendi M., Sedik A., Abd El-Latif A.A.
In smart cities, target detection is one of the major issues in order to avoid traffic congestion
Latest results of dark matter detection with the DarkSide experiment
Agnes, P., Albuquerque, I.F.M., Kubankin, A., Oleinik, A., Shchagin, A.
In this contribution the latest results of dark matter direct detection obtained by the Dark
Development of qpcr detection assay for potato pathogen pectobacterium atrosepticum based on a unique target sequence
Lukianova A.A., Evseev P.V., Stakheev A.A., Kotova I.B., Zavriev S.K., Ignatov A.N., Miroshnikov K.A.
to detect fewer than 102 copies of target DNA per reaction. The presence of plant DNA extract did not affect
Object detection on images based on YOLOX
Gao Haoxuan
the YOLOX model for inference to complete target detection, including image preprocessing, decode outputs
Research on vehicle detection based on visible light and infrared fusion
Gong, Hua, Yu, Xiaoye, Liu, Dalong, Cui, Mengya
is designed. The improved Mask R-CNN infrared target detection algorithm based on image enhancement network

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