7 citations · 31 across the 12 of their papers we have counts for
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cs.CV2023★ 1 cited
Reviving Shift Equivariance in Vision Transformers
Peijian Ding, Davit Soselia, Thomas Armstrong +2
Shift equivariance is a fundamental principle that governs how we perceive the world - our recognition of an object remains invariant with respect to shifts. Transformers have gain…
cs.CV2020★ 3 cited
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets
Roozbeh Yousefzadeh, Furong Huang
Deep learning models extract, before a final classification layer, features or patterns which are key for their unprecedented advantageous performance. However, the process of comp…
cs.CV2020
ARMA Nets: Expanding Receptive Field for Dense Prediction
Jiahao Su, Shiqi Wang, Furong Huang
Global information is essential for dense prediction problems, whose goal is to compute a discrete or continuous label for each pixel in the images. Traditional convolutional layer…