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Found 3 papers, 2 papers with code
Few-shot Hybrid Domain Adaptation of Image Generators
Concretely, the distance loss blends the attributes of all target domains by reducing the distances from generated images to all target subspaces.
Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
In this paper, we develop a new approach of spatially supervised recurrent convolutional neural networks for visual object tracking.
Ensemble Video Object Cut in Highly Dynamic Scenes
We incorporate this similarity information into a graph-cut energy minimization framework for foreground object segmentation.
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