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Found 2 papers, 1 papers with code
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
Capsule network is a recent new architecture that has achieved better robustness in part-whole representation learning by replacing pooling layers with dynamic routing and convolutional strides, which has shown potential results on popular tasks such as digit classification and object segmentation.
Self-Supervised Learning via multi-Transformation Classification for Action Recognition
We use the learned models in pretext tasks as the pre-trained models and fine-tune them to recognize human actions in the downstream task.
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