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20222026
most citedBridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets

39 citations · 46 across the 10 of their papers we have counts for

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cs.CV2022★ 39 cited

Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets

Zhiying Lu, Hongtao Xie, Chuanbin Liu +1

There still remains an extreme performance gap between Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) when training from scratch on small datasets, which is co…

cs.CV2022★ 1 cited

Geometry Aligned Variational Transformer for Image-conditioned Layout Generation

Yunning Cao, Ye Ma, Min Zhou +4

Layout generation is a novel task in computer vision, which combines the challenges in both object localization and aesthetic appraisal, widely used in advertisements, posters, and…