Construct · 1 fields · 1 citations

loss of shift invariance in CNNs: a standalone construct

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Computer vision

the observation that downsampling without anti-aliasing makes convolutional networks change their outputs when an image shifts by a few pixels.

In computer vision, loss of shift invariance in CNNs refers to the observation that downsampling without anti-aliasing makes convolutional networks change their outputs when an image shifts by a few pixels. This meaning comes from Zhang (2019) in arXiv.[1]

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Nearby constructs

image4 fields · 5 citationsjingle · one word, four constructs invariance4 fields · 5 citationsjingle · one word, four constructs loss2 fields · 3 citationsjingle · one word, two constructs

References

Zhang, R. (2019). Making Convolutional Networks Shift-Invariant Again. arXiv. https://doi.org/10.48550/arxiv.1904.11486

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