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Found 3 papers, 2 papers with code
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models
Knowledge distillation in neural networks refers to compressing a large model or dataset into a smaller version of itself.
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
We use the indication field to drive better image classification, by taking a transformer network which is unimodally pre-trained on text (BERT) and fine-tuning it for multimodal classification of a dual image-text input.
INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs
We evaluate the method on two datasets: a new CLEVR-Seg dataset where we segment objects based on location, and the ACDC dataset conditioned on cardiac phase and slice location within the volume.
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