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Found 2 papers, 1 papers with code
Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter
The detection is performed on small image patches instead of the entire image to increase the performance of small ball detection.
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection
To better handle these challenges, the paper proposes a novel framework, multi-scale, deep inception convolutional neural network (MDCN), which focuses on wider and broader object regions by activating feature maps produced in the deep part of the network.
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