output
20082025
most citedADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

1.4k citations

Showing 2021Show all

16 papers · 1 filter

eess.IV2021★ 19 cited

Weakly Supervised Change Detection Using Guided Anisotropic Difusion

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch +1

Large scale datasets created from crowdsourced labels or openly available data have become crucial to provide training data for large scale learning algorithms. While these dataset…

cs.CV2021★ 14 cited

NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping

Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy +1

There has been recently a growing interest for implicit shape representations. Contrary to explicit representations, they have no resolution limitations and they easily deal with a…

cs.LG2021

Identifiability in Two-Layer Sparse Matrix Factorization

Léon Zheng, Elisa Riccietti, Rémi Gribonval

Sparse matrix factorization is the problem of approximating a matrix by a product of sparse factors .…

cs.RO2021

GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving

Raphael Chekroun, Marin Toromanoff, Sascha Hornauer +1

Deep reinforcement learning (DRL) has been demonstrated to be effective for several complex decision-making applications such as autonomous driving and robotics. However, DRL is no…

cs.LG2021★ 1 cited

Efficient Identification of Butterfly Sparse Matrix Factorizations

Léon Zheng, Elisa Riccietti, Rémi Gribonval

Fast transforms correspond to factorizations of the form , where each factor is sparse and possibly st…

cs.CV2021★ 107 cited

Localizing Objects with Self-Supervised Transformers and no Labels

Oriane Siméoni, Gilles Puy, Huy V. Vo +6

Localizing objects in image collections without supervision can help to avoid expensive annotation campaigns. We propose a simple approach to this problem, that leverages the activ…