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20192023
most citedCombining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification

1 citations · 2 across the 4 of their papers we have counts for

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Showing 2020Show all

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cs.LG2020★ 1 cited

Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification

Shuman Peng, Weilian Song, Martin Ester

The goal of few-shot classification is to learn a model that can classify novel classes using only a few training examples. Despite the promising results shown by existing meta-lea…

cs.CV2020

RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery

Armin Hadzic, Hunter Blanton, Weilian Song +3

Roadway free-flow speed captures the typical vehicle speed in low traffic conditions. Modeling free-flow speed is an important problem in transportation engineering with applicatio…