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20112026
most citedGeneralizing to Unseen Domains via Adversarial Data Augmentation

361 citations · 944 across the 48 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.MS2020★ 1 cited

DSLib: An open source library for the dominant set clustering method

Sebastiano Vascon, Samuel Rota Bulò, Vittorio Murino +1

DSLib is an open-source implementation of the Dominant Set (DS) clustering algorithm written entirely in Matlab. The DS method is a graph-based clustering technique rooted in the e…

cs.CV2020

Discriminative Dictionary Design for Action Classification in Still Images and Videos

Abhinaba Roy, Biplab Banerjee, Amir Hussain +1

In this paper, we address the problem of action recognition from still images and videos. Traditional local features such as SIFT, STIP etc. invariably pose two potential problems:…

cs.CV2020

The Visual Social Distancing Problem

Marco Cristani, Alessio Del Bue, Vittorio Murino +2

One of the main and most effective measures to contain the recent viral outbreak is the maintenance of the so-called Social Distancing (SD). To comply with this constraint, workpla…

cs.CV2020

Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans

Avik Hati, Matteo Bustreo, Diego Sona +2

In this paper, we tackle the task of automatically analyzing 3D volumetric scans obtained from computed tomography (CT) devices. In particular, we address a particular task for whi…

cs.CV2020

Explainable Deep Classification Models for Domain Generalization

Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi +5

Conventionally, AI models are thought to trade off explainability for lower accuracy. We develop a training strategy that not only leads to a more explainable AI system for object…

cs.CV2020

Learning Unbiased Representations via Mutual Information Backpropagation

Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza +1

We are interested in learning data-driven representations that can generalize well, even when trained on inherently biased data. In particular, we face the case where some attribut…