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Found 2 papers, 1 papers with code
Data-Efficient Classification of Birdcall Through Convolutional Neural Networks Transfer Learning
In this research, we evaluated the effectiveness of birdcall classification using transfer learning from a larger base dataset (2814 samples in 46 classes) to a smaller target dataset (351 samples in 10 classes) using the ResNet-50 CNN.
Underwater Fish Detection with Weak Multi-Domain Supervision
Given a sufficiently large training dataset, it is relatively easy to train a modern convolution neural network (CNN) as a required image classifier.
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