Search Results for author: Oriane Siméoni

Found 5 papers, 4 papers with code

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation

1 code implementation21 Mar 2022 Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic

This work investigates learning pixel-wise semantic image segmentation in urban scenes without any manual annotation, just from the raw non-curated data collected by cars which, equipped with cameras and LiDAR sensors, drive around a city.

Unsupervised Semantic Segmentation

Rethinking deep active learning: Using unlabeled data at model training

1 code implementation19 Nov 2019 Oriane Siméoni, Mateusz Budnik, Yannis Avrithis, Guillaume Gravier

By systematically evaluating on a number of popular acquisition strategies and datasets, we find that the use of unlabeled data during model training brings a surprising accuracy improvement in image classification, compared to the differences between acquisition strategies.

Active Learning Image Classification

Local Features and Visual Words Emerge in Activations

1 code implementation15 May 2019 Oriane Siméoni, Yannis Avrithis, Ondrej Chum

We propose a novel method of deep spatial matching (DSM) for image retrieval.

Image Retrieval

Unsupervised object discovery for instance recognition

no code implementations14 Sep 2017 Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Eliminating the impact of the clutter on the image descriptor increases the chance of retrieving relevant images and prevents topic drift due to actually retrieving the clutter in the case of query expansion.

Image Retrieval Object Discovery

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