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Local Relation Networks for Image Recognition
[article]
2019
arXiv
pre-print
The convolution layer has been the dominant feature extractor in computer vision for years. However, the spatial aggregation in convolution is basically a pattern matching process that applies fixed filters which are inefficient at modeling visual elements with varying spatial distributions. This paper presents a new image feature extractor, called the local relation layer, that adaptively determines aggregation weights based on the compositional relationship of local pixel pairs. With this
arXiv:1904.11491v1
fatcat:r4iu5cespnbx3debffoqf6kxee