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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.
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