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Super-Dense: Robust Deep Convolutional Neural Network Embedding via Self-Adaptive Regularization
Super-Dense: Robust Deep Convolutional Neural Network Embedding via Self-Adaptive Regularization – We investigate supervised deep learning for visual tracking. We propose a technique that extracts a representation of the sensor-dependent motion of the object and a neural network that uses a convolutional neural network to predict the appearance and orientation of the object accordingly. This […]