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Found 5 papers, 4 papers with code
DiffSF: Diffusion Models for Scene Flow Estimation
Aiming at improving accuracy while additionally providing an estimate for uncertainty, we propose DiffSF that combines transformer-based scene flow estimation with denoising diffusion models.
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
Our work is based on two techniques for improving CAMs; importance sampling, which is a substitute for GAP, and the feature similarity loss, which utilizes a heuristic that object contours almost always align with color edges in images.
Flow-guided Semi-supervised Video Object Segmentation
A model to extract the combined information from optical flow and the image is proposed, which is then used as input to the target model and the decoder network.
A Machine Learning Framework to Forecast Wave Conditions
These input data along with model outputs of spatially variable wave heights and characteristic period were aggregated into supervised learning training and test data sets, which were supplied to machine learning models.
Atmospheric and Oceanic Physics
