MetaPerch: Learning from metadata for bioacoustics foundation models | Paper Citation Record

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This paper cites European conference on computer vision , pages=.

MetaPerch: Learning from metadata for bioacoustics foundation models European conference on computer vision , pages=

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MetaPerch: Learning from metadata for bioacoustics foundation models 2021 , publisher=

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MetaPerch: Learning from metadata for bioacoustics foundation models Scientific Reports , volume=

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This paper cites BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics.

MetaPerch: Learning from metadata for bioacoustics foundation models BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics

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This paper cites AVEX: What Matters for Animal Vocalization Encoding.

MetaPerch: Learning from metadata for bioacoustics foundation models AVEX: What Matters for Animal Vocalization Encoding

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MetaPerch: Learning from metadata for bioacoustics foundation models arXiv preprint arXiv:2508.01277 , year=

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MetaPerch: Learning from metadata for bioacoustics foundation models arXiv preprint arXiv:2508.04665 , year=

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This paper cites EfficientNet : Rethinking model scaling for convolutional Neural Networks.

MetaPerch: Learning from metadata for bioacoustics foundation models EfficientNet : Rethinking model scaling for convolutional Neural Networks

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MetaPerch: Learning from metadata for bioacoustics foundation models Unresolved cited work

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MetaPerch: Learning from metadata for bioacoustics foundation models Advances in neural information processing systems , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models Forty-third International Conference on Machine Learning , year=

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MetaPerch: Learning from metadata for bioacoustics foundation models International Conference on Learning Representations , year=

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MetaPerch: Learning from metadata for bioacoustics foundation models 2019 16th International Conference on Machine Vision Applications (MVA) , pages=

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MetaPerch: Learning from metadata for bioacoustics foundation models Journal of machine learning research , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models iNaturalist Research-grade Observations

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MetaPerch: Learning from metadata for bioacoustics foundation models Xeno-Canto

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This paper cites The archive of animal sounds at the Humboldt-university of Berlin.

MetaPerch: Learning from metadata for bioacoustics foundation models The archive of animal sounds at the Humboldt-university of Berlin

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MetaPerch: Learning from metadata for bioacoustics foundation models FSD50K : An open dataset of human-labeled sound events

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MetaPerch: Learning from metadata for bioacoustics foundation models Advances in Neural Information Processing Systems , volume=

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This paper cites Symes and Viviana Ruiz-Gutiérrez and Ingrid Molina-Mora and Fernando Cediel and Luis Sandoval and Holger Klinck , title =.

MetaPerch: Learning from metadata for bioacoustics foundation models Symes and Viviana Ruiz-Gutiérrez and Ingrid Molina-Mora and Fernando Cediel and Luis Sandoval and Holger Klinck , title =

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MetaPerch: Learning from metadata for bioacoustics foundation models Zenodo , version = 1, doi =

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MetaPerch: Learning from metadata for bioacoustics foundation models Alexander Hopping and Stefan Kahl and Holger Klinck , title =

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MetaPerch: Learning from metadata for bioacoustics foundation models Wood and Philip Chaon and M

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MetaPerch: Learning from metadata for bioacoustics foundation models Zenodo , version = 1, doi =

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MetaPerch: Learning from metadata for bioacoustics foundation models Zenodo , version = 1, doi =

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MetaPerch: Learning from metadata for bioacoustics foundation models PeerJ Computer Science , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models Marín-Gómez and Irene Mendoza and Miguel A

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MetaPerch: Learning from metadata for bioacoustics foundation models Weldy and Tom Denton and Abram B

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MetaPerch: Learning from metadata for bioacoustics foundation models Scientific Data , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models Pacific Islands Passive Acoustic Network ( PIPAN ) 10kHz Data

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MetaPerch: Learning from metadata for bioacoustics foundation models Philosophical Transactions B , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models Proceedings of Meetings on Acoustics , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models Scientific data , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models Animal behaviour , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models Ecological Informatics , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models Remote Sensing in Ecology and Conservation , year=

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MetaPerch: Learning from metadata for bioacoustics foundation models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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MetaPerch: Learning from metadata for bioacoustics foundation models NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics

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MetaPerch: Learning from metadata for bioacoustics foundation models The Thirty-Ninth Annual Conference on Neural Information Processing Systems workshop: AI for non-human animal communication , year=

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MetaPerch: Learning from metadata for bioacoustics foundation models Deep Multimodal Learning with Missing Modality: A Survey

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MetaPerch: Learning from metadata for bioacoustics foundation models AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

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