64 citations · 222 across the 17 of their papers we have counts for
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cs.CV2020
Learning Furniture Compatibility with Graph Neural Networks
Luisa F. Polania, Mauricio Flores, Yiran Li +1
We propose a graph neural network (GNN) approach to the problem of predicting the stylistic compatibility of a set of furniture items from images. While most existing results are b…
cs.CV2017★ 19 cited
Learning Deep Networks from Noisy Labels with Dropout Regularization
Ishan Jindal, Matthew Nokleby, Xuewen Chen
Large datasets often have unreliable labels-such as those obtained from Amazon's Mechanical Turk or social media platforms-and classifiers trained on mislabeled datasets often exhi…