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Found 2 papers, 2 papers with code
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
We show how this can be done by fine-tuning a CLIP model on synthetic data obtained from a large language model trained to convert between safe and unsafe sentences, and a text-to-image generator.
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation
We analyze how the presence of the markers affects the pose estimation accuracy, and how this bias may be mitigated through data augmentation and other methods.
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