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Lightweight Temporal Attention Encoder - Pre-trained weights

Authors: Vivien Sainte Fare Garnot;

Lightweight Temporal Attention Encoder - Pre-trained weights

Abstract

Pre-trained weights for the Pixel-Set Encoder + Lightweight Temporal Attention Encoder architecture for agricultural parcel classification on Sentinel-2 satellite image time series. This architecture is presented in the following paper: Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series https://arxiv.org/abs/2007.00586 The PyTorch code associated is located in the following github repository: https://github.com/VSainteuf/lightweight-temporal-attention-pytorch

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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