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Found 4 papers, 1 papers with code
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks
Editing real images authentically while also achieving cross-domain editing remains a challenge.
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss
Automated driving object detection has always been a challenging task in computer vision due to environmental uncertainties.
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation
Inspired by this insight, we present Chaos to Order (CtO), a novel approach for SFDA that strives to constrain semantic credibility and propagate label information among target subpopulations.
Semi-Supervised Representative Region Texture Extraction of Façade
Our method can extract texture from any repetitive images, not just fa\c{c}ade, which is not capable in an end-to-end model as it relies on the distribution of training set.
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