4D Spatio Temporal Semantic Segmentation
2 papers with code • 0 benchmarks • 0 datasets
Image: Choy et al
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Latest papers
Enforcing temporal consistency in Deep Learning segmentation of brain MR images
Proposed CNN based segmentation approaches demonstrate how 2D segmentation using prior slices can provide similar results to 3D segmentation while maintaining good continuity in the 3D dimension and improved speed.
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
To overcome challenges in the 4D space, we propose the hybrid kernel, a special case of the generalized sparse convolution, and the trilateral-stationary conditional random field that enforces spatio-temporal consistency in the 7D space-time-chroma space.