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Found 5 papers, 3 papers with code
PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis
In this paper, we present a self-supervised method via polar transformation based progressive contrastive learning, called PoCo, for ophthalmic disease diagnosis.
Diffusion Models for Reinforcement Learning: A Survey
Diffusion models surpass previous generative models in sample quality and training stability.
Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction
In this way, we decompose an ordinal regression task into a series of recursive binary classification steps, so as to subtly distinguish adjacent categories.
CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction
Clinically, to assess the necessity of cataract surgery, accurately predicting postoperative VA before surgery by analyzing multi-view optical coherence tomography (OCT) images is crucially needed.
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification
Today's state-of-the-art image classifiers fail to correctly classify carefully manipulated adversarial images.
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