6 datasets found

The dataset used for domain adaptation via transfer component analysis.

Language models have been commonly adopted to boost the performance of automatic speech recognition (ASR) particularly in domain adaptation tasks. Conventional way of LM...

Source data selection for out-of-domain generalization

VisDA2017 is a popular synthetic-to-real domain adaptation benchmark, which consists of 150k synthetic and 55k real images from 12 categories.

The LoveDA dataset contains high-spatial-resolution images from three different cities, focusing on improving the generalization capability of model from different urban and...

The dataset used in the paper is a cross-domain dataset, consisting of six domains: Real, Painting, Sketch, Clipart, Infograph, and Quickdraw. Each domain contains 345 object...