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Found 2 papers, 2 papers with code
Deep object detection for waterbird monitoring using aerial imagery
In this work, we present a deep learning pipeline that can be used to precisely detect, count, and monitor waterbirds using aerial imagery collected by a commercial drone.
Improving accuracy and speeding up Document Image Classification through parallel systems
This paper presents a study showing the benefits of the EfficientNet models compared with heavier Convolutional Neural Networks (CNNs) in the Document Classification task, essential problem in the digitalization process of institutions.
Ranked #1 on
Multi-Modal Document Classification
on Tobacco-3482
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