We present a collaborative learning method called Mutual Contrastive Learning (MCL) for general visual representation learning. The core idea of MCL is to perform mutual interaction and transfer contrastive distributions among cohort networks. A crucial component Interactive (ICL). Compared with vanilla learning, ICL can aggregate cross-network embedding information maximize the lower bound bet...

Abstract The world is facing the problem of anthropogenic climate change and air pollution. Despite many years development, already established methods influencing behaviour remain ineffective. effect such interventions very often a declaration that not followed by actual action. Moreover, despite intensive information campaigns, people still do have adequate knowledge on subject, are aware or,...