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Found 5 papers, 0 papers with code
Deep multi-prototype capsule networks
Capsule networks are a type of neural network that identify image parts and form the instantiation parameters of a whole hierarchically.
Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks
We propose a novel training algorithm for the $\pm$ED-WTA network, which cleverly switches between updating the positive and negative prototypes and is essential to the emergence of interpretable prototypes.
WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II
Digital watermarking is a remarkable issue in the field of information security to avoid the misuse of images in multimedia networks.
Salient Object Detection in Video using Deep Non-Local Neural Networks
Detection of salient objects in image and video is of great importance in many computer vision applications.
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification
Experimental results on two gesture recognition tasks show that the proposed method outperforms LDCRFs, hidden Markov models, and conditional random fields.
