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Found 3 papers, 2 papers with code
Dynamic Prompt Optimizing for Text-to-Image Generation
Users assign weights or alter the injection time steps of certain words in the text prompts to improve the quality of generated images.
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
As a successful approach to self-supervised learning, contrastive learning aims to learn invariant information shared among distortions of the input sample.
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt
Vision-language models are pre-trained by aligning image-text pairs in a common space so that the models can deal with open-set visual concepts by learning semantic information from textual labels.
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