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Found 4 papers, 2 papers with code
RudolfV: A Foundation Model by Pathologists for Pathologists
Histopathology plays a central role in clinical medicine and biomedical research.
Human alignment of neural network representations
Linear transformations of neural network representations learned from behavioral responses from one dataset substantially improve alignment with human similarity judgments on the other two datasets.
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder
In this work, we investigate the impact of transfer learning for segmentation problems, being pixel-wise classification problems that can be tackled with encoder-decoder architectures.
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
This paper presents Contrastive Reconstruction, ConRec - a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.
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