CPAD: Continuous Pre-training for Infrared Images with Advances in Data, Preprocessing, and Paradigm
Abstract: Infrared remote sensing imagery has emerged as a critical data source in environmental perception and intelligent monitoring, with significant potential in scenarios requiring robust ...
To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...
Finally got around to adding --model-kwargs and --opt-kwargs to scripts to pass through rare args directly to model classes from cmd line train.py /imagenet --model resnet50 --amp --model-kwargs ...
Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors - Dmitro72/Magic12345 ...
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