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Found 3 papers, 2 papers with code
Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
Open-vocabulary semantic segmentation aims at segmenting arbitrary categories expressed in textual form.
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
The use of self-supervised pre-training has emerged as a promising approach to enhance the performance of visual tasks such as image classification.
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Recent advancements in diffusion models have enabled the generation of realistic deepfakes by writing textual prompts in natural language.
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