2022
DOI: 10.1007/978-3-031-01333-1_5
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Detection and Multi-label Classification of Bats

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Cited by 3 publications
(1 citation statement)
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“…Compact and efficient models are necessary in the context of low powered deployments on edge-based monitoring devices (Gallacher et al, 2021; Zualkernan et al, 2021). In addition, there is also an increased chance in longer recordings that more than one species could be present in the longer input recording (Dierckx et al, 2022). This last point is especially problematic as it violates the ‘one species per input’ assumption of conventional classification approaches.…”
Section: Introductionmentioning
confidence: 99%
“…Compact and efficient models are necessary in the context of low powered deployments on edge-based monitoring devices (Gallacher et al, 2021; Zualkernan et al, 2021). In addition, there is also an increased chance in longer recordings that more than one species could be present in the longer input recording (Dierckx et al, 2022). This last point is especially problematic as it violates the ‘one species per input’ assumption of conventional classification approaches.…”
Section: Introductionmentioning
confidence: 99%