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06/22/2020
Neural Cellular Automata Manifold
Very recently, a deep Neural Cellular Automata (NCA)[1] has been propose...
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Feature discriminativity estimation in CNNs for transfer learning
The purpose of feature extraction on convolutional neural networks is to...
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04/24/2018
A Visual Distance for WordNet
Measuring the distance between concepts is an important field of study o...
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Full-Network Embedding in a Multimodal Embedding Pipeline
The current state-of-the-art for image annotation and image retrieval ta...
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Building Graph Representations of Deep Vector Embeddings
Patterns stored within pre-trained deep neural networks compose large an...
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An Out-of-the-box Full-network Embedding for Convolutional Neural Networks
Transfer learning for feature extraction can be used to exploit deep rep...
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