Language-guided Few-shot Semantic Segmentation

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Yuang Liu, Qiang Zhou, Fan Wang, | Summary: Few-shot learning is a promising way for reducing the label cost in new categories adaptation with the guidance of a small, well labeled support set. But for few-shot semantic segmentation, the pixel-level annotations of support images are […]


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Mesoscopic ultrafast nonlinear optics — The emergence of multimode quantum non-Gaussian physics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Ryotatsu Yanagimoto, Edwin Ng, Marc Jankowski, Rajveer Nehra, Timothy P. McKenna | Summary: Over the last few decades, nonlinear optics has become significantly more nonlinear, traversing nearly a billionfold improvement in energy efficiency, with ultrafast nonlinear nanophotonics in particular emerging as a frontier for combining both spatial […]


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A Unified Framework for Fair Spectral Clustering With Effective Graph Learning

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Qiao Wang, , , | Summary: We consider the problem of spectral clustering under group fairness constraints, where samples from each sensitive group are approximately proportionally represented in each cluster. Traditional fair spectral clustering (FSC) methods consist of two consecutive stages, i.e., performing fair spectral […]


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