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What is: HRNet?

SourceDeep High-Resolution Representation Learning for Visual Recognition
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

HRNet, or High-Resolution Net, is a general purpose convolutional neural network for tasks like semantic segmentation, object detection and image classification. It is able to maintain high resolution representations through the whole process. We start from a high-resolution convolution stream, gradually add high-to-low resolution convolution streams one by one, and connect the multi-resolution streams in parallel. The resulting network consists of several (44 in the paper) stages and the nnth stage contains nn streams corresponding to nn resolutions. The authors conduct repeated multi-resolution fusions by exchanging the information across the parallel streams over and over.