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Torch-Points3D: A Modular Multi-Task Frameworkfor Reproducible Deep Learning on 3D Point Clouds
We introduce Torch-Points3D, an open-source framework designed to facili...
10/09/2020 ∙ by Thomas Chaton, et al. ∙
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Metric-Guided Prototype Learning
Not all errors are created equal. This is especially true for many key m...
07/06/2020 ∙ by Vivien Sainte Fare Garnot, et al. ∙
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Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series
The increasing accessibility and precision of Earth observation satellit...
07/01/2020 ∙ by Vivien Sainte Fare Garnot, et al. ∙
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Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
Satellite image time series, bolstered by their growing availability, ar...
11/18/2019 ∙ by Vivien Sainte Fare Garnot, et al. ∙
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Supervized Segmentation with Graph-Structured Deep Metric Learning
We present a fully-supervized method for learning to segment data struct...
05/10/2019 ∙ by Loic Landrieu, et al. ∙
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Parallel Cut Pursuit For Minimization of the Graph Total Variation
We present a parallel version of the cut-pursuit algorithm for minimizin...
05/07/2019 ∙ by Hugo Raguet, et al. ∙
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Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
We propose a new supervized learning framework for oversegmenting 3D poi...
04/03/2019 ∙ by Loic Landrieu, et al. ∙
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Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series
In this article, we investigate several structured deep learning models ...
01/29/2019 ∙ by Vivien Sainte Fare Garnot, et al. ∙
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Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
We propose a novel deep learning-based framework to tackle the challenge...
11/27/2017 ∙ by Loic Landrieu, et al. ∙
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