Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation, with generative adversarial networks (GANs) emerging as a promising solution.
Techniques like GAN...
The scaling rule of language models has produced success like never before. These huge language models have gotten novel emerging capabilities in addition to demonstrating tremendous superiority over earlier paradigms for many disciplines when trained on...
Most information regarding each patient's health condition and clinical history kept in Electronic Health Records (EHRs) is recorded in clinical notes inside the unstructured...
Language models are incredibly popular right now, especially in light of recent technological developments in this area. These models have demonstrated significant potential for...
Can we solve mathematical and logical problems using machine learning? What if we could prove complex mathematical theorems using machine learning? What if there...
The stationary batch scenario, where fixed training and test sets are sampled using a static, unchanging data distribution, has received much attention from the...
Face recognition across Near Infrared (NIR) and VIS images have recently gained increasing attention in the computer vision community to overcome the problem that...
Synthetic data has frequently been used for a range of computer vision tasks, such as object identification, scene comprehension, eye tracking, hand tracking, and...
The influence of one's peers significantly affects individual actions. The dynamics of a group affect its members' propensity to break the law, use violence,...
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