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most citedAugmentations vs Algorithms: What Works in Self-Supervised Learning

3 citations · 9 across the 6 of their papers we have counts for

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cs.CV2022★ 2 cited

Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks

Renan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing +2

We propose learnable polyphase sampling (LPS), a pair of learnable down/upsampling layers that enable truly shift-invariant and equivariant convolutional networks. LPS can be train…