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Found 4 papers, 1 papers with code
Tackling Structural Hallucination in Image Translation with Local Diffusion
We hypothesize such hallucinations result from local OOD regions in the conditional images.
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
Textural Inversion, a prompt learning method, learns a singular text embedding for a new "word" to represent image style and appearance, allowing it to be integrated into natural language sentences to generate novel synthesised images.
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Supervised training of deep learning models for medical imaging applications requires a significant amount of labeled data.
Classification of datasets with imputed missing values: does imputation quality matter?
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial.
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