Transfer Sampling with Optimal Transport and window cropping finds nearly 80% of animals in new UAV datasets using under 0.5% of labels.
Unmanned aerial vehicles (UA Vs) for surveying Marine Fauna: A dugong case study,
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Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning
Transfer Sampling with Optimal Transport and window cropping finds nearly 80% of animals in new UAV datasets using under 0.5% of labels.