Transformers have played a crucial role in natural language processing tasks in the last decade. Their success attributes mainly to their ability to extract...
Many cultures place a high value on dance as a means of expression, communication, and social connection. However, producing new dances or dance animations...
Object detection is the technique used to identify and classify various items in an image. Different methods are commonly used for object detection to...
Recent advances in deep learning have touched the field of medical science. However, recent privacy concerns and legislative frameworks have hampered the sharing and...
Face recognition across Near Infrared (NIR) and VIS images have recently gained increasing attention in the computer vision community to overcome the problem that...
Generative Adversarial Networks (or just GANs) have been widely used to generate synthetic data for different applications in recent years. The most commonly considered...
Algorithmic bias has emerged as a major area of study in artificial intelligence in recent years. An examination of facial recognition software in 2018...
Contrastive Language-Image Pretraining, or CLIP, is a training method that differs from standard technics used by the vision community. A large dataset of over...
Synthetic data has frequently been used for a range of computer vision tasks, such as object identification, scene comprehension, eye tracking, hand tracking, and...
Our earth is gorgeous, with majestic mountains, breathtaking seascapes, and tranquil forests. Flying past intricately detailed, three-dimensional landscapes, picture yourself taking in this splendor...
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