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Found 5 papers, 3 papers with code
FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI
The hypothalamus plays a crucial role in the regulation of a broad range of physiological, behavioural, and cognitive functions.
How Much Temporal Long-Term Context is Needed for Action Segmentation?
In this work, we try to answer how much long-term temporal context is required for temporal action segmentation by introducing a transformer-based model that leverages sparse attention to capture the full context of a video.
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Action Segmentation
on Assembly101
Robust Action Segmentation from Timestamp Supervision
As obtaining annotations to train an approach for action segmentation in a fully supervised way is expensive, various approaches have been proposed to train action segmentation models using different forms of weak supervision, e. g., action transcripts, action sets, or more recently timestamps.
TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction
While recurrent neural networks (RNNs) demonstrate outstanding capabilities for future video frame prediction, they model dynamics in a discrete time space, i. e., they predict the frames sequentially with a fixed temporal step.
3D CNNs with Adaptive Temporal Feature Resolutions
While the GFLOPs of a 3D CNN can be decreased by reducing the temporal feature resolution within the network, there is no setting that is optimal for all input clips.
