SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset

Research article (Ecological Informatics, 2021) · cited 20× · AI/ML
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SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset

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SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/silic-a-cross-database-framework-for-automatically-extracting-robust-biodiversity-information-from-soundscape-recordings
MLA “SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/silic-a-cross-database-framework-for-automatically-extracting-robust-biodiversity-information-from-soundscape-recordings.
BibTeX @misc{4ortxyz_silic-a-cross-database-framework-for-automatically-extracting-robust-biodiversity-information-from-soundscape-recordings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset}}, year = {2026}, url = {https://4ort.xyz/entity/silic-a-cross-database-framework-for-automatically-extracting-robust-biodiversity-information-from-soundscape-recordings}, note = {Accessed: 2026-05-24}}
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