Three-dimensional (3D) depthwise separable convolutions are used in this hybrid structure to extract spatiotemporal features, meanwhile enhancing model efficiency. We conducted experimental studies on ...

Leveraging a Contrastive Ranking Strategy, 3D Separable Convolution, Bi-LSTM, and SGA Attention, PRNet excels on small-sample datasets, offering a powerful tool for optogenetics research.

A Hybrid Transformer-LSTM Model With 3D Separable Convolution for Video Prediction Abstract:Video prediction is an essential vision task due to its wide applications in real-world scenarios. However, ...