Deep Layer Aggregation

Cited by: 209|Bibtex|Views106
Other Links: arxiv.org

Abstract:

Visual recognition requires rich representations that span levels from low to high, scales from small to large, and resolutions from fine to coarse. Even with the depth of features in a convolutional network, a layer in isolation is not enough: compounding and aggregating these representations improves inference of what and where. Archi...More

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