#newpaper — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #newpaper, aggregated by home.social.
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper out: Twenty-five years of Neobiota: building a community for invasion science in Europe and beyond by Ingo Kowarik and many great colleagues @TheresaHenke
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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#NewPaper #Paleontology #MassExtinctions
Thomas J Algeo, Jun Shen, Theory and classification of mass extinction causation, National Science Review, 2023;, nwad237, https://doi.org/10.1093/nsr/nwad237
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GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition with domain adaptation/transfer using target pseudo-labels generated by a discriminator (trained on source domain).
Summary: https://huggingface.co/papers/2308.04638#64df3a0db6f2f37d72b7e764
arXiv: https://arxiv.org/abs/2308.04638 -
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition with domain adaptation/transfer using target pseudo-labels generated by a discriminator (trained on source domain).
Summary: https://huggingface.co/papers/2308.04638#64df3a0db6f2f37d72b7e764
arXiv: https://arxiv.org/abs/2308.04638 -
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition with domain adaptation/transfer using target pseudo-labels generated by a discriminator (trained on source domain).
Summary: https://huggingface.co/papers/2308.04638#64df3a0db6f2f37d72b7e764
arXiv: https://arxiv.org/abs/2308.04638 -
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors
LiDAR place recognition with domain adaptation/transfer using target pseudo-labels generated by a discriminator (trained on source domain).
Summary: https://huggingface.co/papers/2308.04638#64df3a0db6f2f37d72b7e764
arXiv: https://arxiv.org/abs/2308.04638 -
Visual Geo-localization with Self-supervised Representation Learning
SSL losses can be used for Visual Geo-localization/representation learning for VPR.
My summary on HFPapers: https://huggingface.co/papers/2308.00090#64d7ccd079d99b87006160ea
arXiv: https://arxiv.org/abs/2308.00090 -
Visual Geo-localization with Self-supervised Representation Learning
SSL losses can be used for Visual Geo-localization/representation learning for VPR.
My summary on HFPapers: https://huggingface.co/papers/2308.00090#64d7ccd079d99b87006160ea
arXiv: https://arxiv.org/abs/2308.00090 -
Visual Geo-localization with Self-supervised Representation Learning
SSL losses can be used for Visual Geo-localization/representation learning for VPR.
My summary on HFPapers: https://huggingface.co/papers/2308.00090#64d7ccd079d99b87006160ea
arXiv: https://arxiv.org/abs/2308.00090 -
Visual Geo-localization with Self-supervised Representation Learning
SSL losses can be used for Visual Geo-localization/representation learning for VPR.
My summary on HFPapers: https://huggingface.co/papers/2308.00090#64d7ccd079d99b87006160ea
arXiv: https://arxiv.org/abs/2308.00090 -
#NewPaper #Mammalogy #InnerEar #Evolution #Ruminants
Mennecart, B., Dziomber, L., Aiglstorfer, M. et al. Ruminant inner ear shape records 35 million years of neutral evolution. Nat Commun 13, 7222 (2022). https://doi.org/10.1038/s41467-022-34656-0
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#NewPaper #Mammalogy #InnerEar #Evolution #Ruminants
Mennecart, B., Dziomber, L., Aiglstorfer, M. et al. Ruminant inner ear shape records 35 million years of neutral evolution. Nat Commun 13, 7222 (2022). https://doi.org/10.1038/s41467-022-34656-0
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#NewPaper #Mammalogy #InnerEar #Evolution #Ruminants
Mennecart, B., Dziomber, L., Aiglstorfer, M. et al. Ruminant inner ear shape records 35 million years of neutral evolution. Nat Commun 13, 7222 (2022). https://doi.org/10.1038/s41467-022-34656-0