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DynamicEarthNet Challenge

DynamicEarthNet Challenge

Earthvision Virtual Workshop together with the CVPR Conference have set out two challenges for the event´s edition of this year. The DynamicEarthNet Challenge proposed in conjunction with DLR, TUM and Planet aims to stimulate innovation in spatio-temporal machine learning to improve the development of models without the necessity for large-scale annotations, which is often not available in practice. It will award the winners with some fellowships of the Beyond Fellows program of the AI4EO Future Lab at the Technical University of Munich.

The challenge is centered around modeling multi-temporal land cover changes (with few or no training labels) from Planetscope and Sentinel time series data.

Challenge Start: March 1, 2021

Challenge Deadline: June 1, 2021

Take a look here for further details, send your proposal and join our scientific team!

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International AI Future Lab on AI4EOFollow

International AI Future Lab on Artificial Intelligence for Earth Observation @TU_Muenchen @DLR_de, @BMBF_bund funded

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Retweet on TwitterInternational AI Future Lab on AI4EO Retweeted
AvatarXiaoxiang ZHU@xiaoxiang_zhu·
20 May

We are looking for one PostDoc and one PhD student working on #UncertaintyQuantification in #DeepNeuralNetworks for #EarthObservation and their impact on use cases related to #ClimateScience #SeaLevelBudget
Here an overview paper as background info: https://arxiv.org/abs/2107.03342

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Retweet on TwitterInternational AI Future Lab on AI4EO Retweeted
AvatarXiaoxiang ZHU@xiaoxiang_zhu·
18 May

Interested in semantic segmentation, but has no annotation?
Check our recent paper @Zhu_XLab @ai4eo_de led by @sudipansaha published in @IEEE_GRSS #TGRS: 10.1109/TGRS.2022.3174651
code (coming soon): https://gitlab.lrz.de/ai4eo/cd/-/tree/main/unsupContrastiveSemanticSeg
#AI4EO

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Retweet on TwitterInternational AI Future Lab on AI4EO Retweeted
AvatarXiaoxiang ZHU@xiaoxiang_zhu·
18 May

Interested in land use dynamics on the Earth's surface? Check our #DynamicEarthNet dataset -- daily, multi-spectral satellite observations of 75 AOIs across the globe with imagery from #Planetscope and #Sentinels, paired with high quality #LULC labels #AI4EO #CVPR

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