text:   Background Mixing",4,"['CoMix is now available on ArXiv! We introduce a new temporal contrastive learning approach for unsupervised video domain adaptation by jointly leveraging: video speed, background mixing, and target self-supervision.\nPaper link: <LINK>\n#NeurIPS2021 <LINK>', 'Either you walk indoors or walk outside, action recognition should not be affected by the ""shift"" in domain/background. Focussing on action semantics is crucial. Our proposed contrastive background mixing component helps in that: https://t.co/AlOtrHGErF', 'https://t.co/G0rxPdK7KD', 'Project page: https://t.co/E1dgpPFB3a\nCodes and poster coming soon!\nJoint work with @rutavms @rpanda89 @kate_saenko_ @AbirDasUCR']",21,10,610