SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning

Xinghui Li, Kai Han, Xingchen Wan +1

We propose SimSC, a remarkably simple framework, to address the problem of semantic matching only based on the feature backbone. We discover that when fine-tuning ImageNet pre-trai…