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This document provides a survey of convolutional neural network (CNN)-based methods for classifying animal behavior from videos. It discusses human action recognition methods that have been adapted for animal behavior classification in neuroscience. Specifically, it overviews CNN architectures like 2D, two-stream, and 3D CNNs that can learn spatiotemporal features. It also reviews popular deep learning models and frameworks that have been used or built upon for animal behavior classification, including for

Author

Edwin Lee

Language

EN