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Found 4 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.
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
To address such limitations, meta-learning has been adopted in the scenarios of few-shot learning and multiple tasks.
CapsNet for Medical Image Segmentation
We then provide recent developments of CapsNet for the task of medical image segmentation.
Agent-Environment Network for Temporal Action Proposal Generation
Temporal action proposal generation is an essential and challenging task that aims at localizing temporal intervals containing human actions in untrimmed videos.
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