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20172020
most citedAn Out-of-the-box Full-network Embedding for Convolutional Neural Networks

7 citations · 10 across the 5 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.NE2019

Feature discriminativity estimation in CNNs for transfer learning

Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla +2

The purpose of feature extraction on convolutional neural networks is to reuse deep representations learnt for a pre-trained model to solve a new, potentially unrelated problem. Ho…

cs.CV2019

MetH: A family of high-resolution and variable-shape image challenges

Ferran Parés, Dario Garcia-Gasulla, Harald Servat +2

High-resolution and variable-shape images have not yet been properly addressed by the AI community. The approach of down-sampling data often used with convolutional neural networks…