Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nwokedi, Ezechukwu I."'
Autor:
Nwokedi, Ezechukwu I., Bains, Rasneer S., Bidaut, Luc, Ye, Xujiong, Wells, Sara, Brown, James M.
This paper presents a spatiotemporal deep learning approach for mouse behavioural classification in the home-cage. Using a series of dual-stream architectures with assorted modifications to increase performance, we introduce a novel feature sharing a
Externí odkaz:
http://arxiv.org/abs/2206.00614
Autor:
Nwokedi, Ezechukwu I, Bains, Rasneer S, Bidaut, Luc, Wells, Sara, Ye, Xujiong, Brown, James M
This paper explores the application of unsupervised learning to detecting anomalies in mouse video data. The two models presented in this paper are a dual-stream, 3D convolutional autoencoder (with residual connections) and a dual-stream, 2D convolut
Externí odkaz:
http://arxiv.org/abs/2106.00598