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Tracking more than 100 arbitrary objects at 25 FPS through deep learning
Most video analytics applications rely on object detectors to localize objects in frames. However, when real-time is a requirement, running the detector at all the frames is usually not possible. This is somewhat circumvented ...
STDnet: Exploiting high resolution feature maps for small object detection
The accuracy of small object detection with convolutional neural networks (ConvNets) lags behind that of larger objects. This can be observed in popular contests like MS COCO. This is in part caused by the lack of specific ...