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Found 4 papers, 1 papers with code
The checkerboard copula and dependence concepts
We study the problem of choosing the copula when the marginal distributions of a random vector are not all continuous.
The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation
Guided depth super-resolution (GDSR) involves restoring missing depth details using the high-resolution RGB image of the same scene.
On Consistency of Signatures Using Lasso
Signature transforms are iterated path integrals of continuous and discrete-time time series data, and their universal nonlinearity linearizes the problem of feature selection.
M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection
The adjacent interactive aggregation module (AIAM) gradually integrates the neighbor features of high, middle and low levels.
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