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20172026
most citedRobust Place Categorization with Deep Domain Generalization

49 citations · 230 across the 30 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.LG2018★ 1 cited

Is Data Clustering in Adversarial Settings Secure?

Battista Biggio, Ignazio Pillai, Samuel Rota Bulò +3

Clustering algorithms have been increasingly adopted in security applications to spot dangerous or illicit activities. However, they have not been originally devised to deal with d…

cs.CV2018

Best sources forward: domain generalization through source-specific nets

Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo +1

A long standing problem in visual object categorization is the ability of algorithms to generalize across different testing conditions. The problem has been formalized as a covaria…

cs.CV2018

Adding New Tasks to a Single Network with Weight Transformations using Binary Masks

Massimiliano Mancini, Elisa Ricci, Barbara Caputo +1

Visual recognition algorithms are required today to exhibit adaptive abilities. Given a deep model trained on a specific, given task, it would be highly desirable to be able to ada…

cs.RO2018★ 49 cited

Robust Place Categorization with Deep Domain Generalization

Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo +1

Traditional place categorization approaches in robot vision assume that training and test images have similar visual appearance. Therefore, any seasonal, illumination and environme…

cs.CV2018

Boosting Domain Adaptation by Discovering Latent Domains

Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò +2

Current Domain Adaptation (DA) methods based on deep architectures assume that the source samples arise from a single distribution. However, in practice, most datasets can be regar…