Utkarsh Gaur

Weakly Supervised Manifold Learning for Dense Semantic Object Correspondence

The goal of the semantic object correspondence problem is to compute dense association maps for a pair of images such that the same object parts get matched for very different appearing object instances. Our method builds on the recent findings that deep convolutional neural networks (DCNNs) implici…