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20122024
most citedObject Detection in Aerial Images: A Large-Scale Benchmark and Challenges

665 citations · 1.3k across the 35 of their papers we have counts for

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Showing 2018Show all

9 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★ 3 cited

DeepScores and Deep Watershed Detection: current state and open issues

Ismail Elezi, Lukas Tuggener, Marcello Pelillo +1

This paper gives an overview of our current Optical Music Recognition (OMR) research. We recently released the OMR dataset \emph{DeepScores} as well as the object detection method…

cs.CV2018

Characterization of Visual Object Representations in Rat Primary Visual Cortex

Sebastiano Vascon, Ylenia Parin, Eis Annavini +3

For most animal species, quick and reliable identification of visual objects is critical for survival. This applies also to rodents, which, in recent years, have become increasingl…

cs.CV2018

Ancient Coin Classification Using Graph Transduction Games

Sinem Aslan, Sebastiano Vascon, Marcello Pelillo

Recognizing the type of an ancient coin requires theoretical expertise and years of experience in the field of numismatics. Our goal in this work is automatizing this time consumin…

cs.CV2018

Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets

Leulseged Tesfaye Alemu, Marcello Pelillo

Aggregating different image features for image retrieval has recently shown its effectiveness. While highly effective, though, the question of how to uplift the impact of the best…

cs.CV2018

A Graph Transduction Game for Multi-target Tracking

Tewodros Mulugeta Dagnew, Dalia Coppi, Marcello Pelillo +1

Semi-supervised learning is a popular class of techniques to learn from labeled and unlabeled data. The paper proposes an application of a recently proposed approach of graph trans…