Search Results for author:
Found 3 papers, 1 papers with code
Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
The historical spatial context of the agent provides a similarity signal for self-supervised contrastive learning.
Using Navigational Information to Learn Visual Representations
Children learn to build a visual representation of the world from unsupervised exploration and we hypothesize that a key part of this learning ability is the use of self-generated navigational information as a similarity label to drive a learning objective for self-supervised learning.
Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing
Replacing the background and simultaneously adjusting foreground objects is a challenging task in image editing.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
