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Weakly Supervised Object Detection with Pointwise Mutual Information
It is shown that the combination of pointwise mutual information and a cosine loss eases the learning process and thus improves the accuracy.
Neuron Pruning for Compressing Deep Networks using Maxout Architectures
Furthermore, it will be shown that neuron pruning can be combined with subsequent weight pruning, reducing the size of the LeNet-5 and VGG16 up to $92\%$ and $80\%$ respectively.
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition
A novel method for adjusting the network's predictions based on uncertainty information is introduced.
Zero-shot object prediction using semantic scene knowledge
This work focuses on the semantic relations between scenes and objects for visual object recognition.
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