MetaTrans improves unsupervised video domain adaptation performance by separating and subtracting spatial and temporal divergences via a dedicated module and a minimal two-term loss objective.
Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Return of Frustratingly Easy Unsupervised Video Domain Adaptation
MetaTrans improves unsupervised video domain adaptation performance by separating and subtracting spatial and temporal divergences via a dedicated module and a minimal two-term loss objective.