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].
Neural Information Processing Systems
Feb-9-2026, 02:31:54 GMT
- Technology: