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Motivation
Add HRViT (resolve #1730) described in "Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation" which is a new vision transformer backbone design for semantic segmentation. It has a multi-branch high-resolution (HR) architecture with enhanced multi-scale representability, surpassing state-of-the-art MiT and CSWin backbones with an average of +1.78 mIoU improvement, 28% parameter saving, and 21% FLOPs reduction on ADE20K and Cityscapes.
Modification
New HRViT backbone and sample config files are added.
Checklist
Notes about LICENSE:
Implementation mostly borrowed from the original repository with slight modifications to make it compatible with mmsegmentation, kept the copyright notices in the files.