Abstract: Data augmentation effectively addresses the imbalanced-small sample data (ISSD) problem in hyperspectral image classification (HSIC). Although most methodologies extend features in the ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

The role of small-sample learning in improving image recognition is vital, but there is a problem that the recognition results are inaccurate. Single-sample learning cannot solve and improve the small ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Certified Data Engineer Associate exam validates your ability to design, build, and ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

We introduce ThinkLite-VL, a family of visual reasoning models that achieve state-of-the-art (SoTA) performance using an order of magnitude fewer training samples, relying purely on reinforcement fine ...

23andMe customers who once turned over the most personal form of information to the company — their own genetic data — may want it back after the personal genomics and biotech startup declared ...

School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China ...

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