A two-stage weakly supervised pipeline pretrains on auto-generated school labels from sparse points and fine-tunes on only 50 manual examples to achieve strong detection performance in aerial imagery.
Every call is precious: Global optimization of black-box functions with unknown lips- chitz constants
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Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning
A two-stage weakly supervised pipeline pretrains on auto-generated school labels from sparse points and fine-tunes on only 50 manual examples to achieve strong detection performance in aerial imagery.