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cs.LG2026
Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference
Ben McEwen, Shiqi Zhang, Dan Stowell
Limited expert annotation capacity is a pervasive constraint in biodiversity monitoring. Passive acoustic recorders and camera traps generate data faster than experts can analyse t…
cs.LG2026★ 1 cited
bacpipe: a Python package to make bioacoustic deep learning models accessible
Vincent S. Kather, Sylvain Haupert, Burooj Ghani +1
1. Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated…