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Found 3 papers, 1 papers with code
Unsupervised Discovery of Object-Centric Neural Fields
Extensive experiments show that uOCF enables unsupervised discovery of visually rich objects from a single real image, allowing applications such as 3D object segmentation and scene manipulation.
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
Low-light conditions not only hamper human visual experience but also degrade the model's performance on downstream vision tasks.
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Motivated by this observation, we revisit existing self-AT methods and discover an inherent dilemma that affects self-AT robustness: either strong or weak data augmentations are harmful to self-AT, and a medium strength is insufficient to bridge the gap.
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