Object-awareContrastiveLearningfor DebiasedSceneRepresentation

Neural Information Processing Systems 

Self-supervised learning of visual representations from unlabeled images is a fundamental task of machine learning, which establishes various applications including object recognition [1, 2], reinforcement learning [3, 4], out-of-distribution detection [5, 6], and multimodal learning [7, 8].

Similar Docs  Excel Report  more

TitleSimilaritySource
None found