Chenghang Lai

Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement

In this paper, we develop a weakly supervised learning algorithm to learn robust semantic correspondences from large-scale datasets with only image-level labels. Following the spirit of multiple instance learning (MIL), we decompose the weakly supervised correspondence learning problem into three st…