Fine-tuning models have gained momentum with the advent of transfer learning, particularly in natural language processing (NLP). Instead of starting from scratch, practitioners tweak sophisticated models initially developed by tech giants like Google or Microsoft.
What Is Computer Vision? How Does AI Computer Vision Work? Applications of Computer Vision Computer Vision for Enterprise Digital Transformation Future Of Computer Vision Planning to build your next Computer Vision-powered software? Read our complete guide on Choosing Software Development Partner to get started. You can also Download Software Development Partner Guide to read it on the go and…
In today’s digital age, with technical constraints and legal regulations constantly increasing, the need for contextualizing content to personalize ads while ensuring user privacy has never been so important. Moreover, advertisers strive to maintain a positive and trustworthy association between their brand and the content in which their ads are displayed. Thus, categorizing text, images…
Vision Transformers (ViT), since their introduction by Dosovitskiy et. al. [reference] in 2020, have dominated the field of Computer Vision, obtaining state-of-the-art performance in image classification first, and later on in other tasks as well. However, unlike other architectures, they are a bit harder to grasp, particularly if you are not already familiar with the Transformer model…
Ever wondered how are we able to understand the things we see? Like we see someone walking, whether we realize it or not, using the prerequisite knowledge, our brain understands what is happening and stores it as information. Imagine we look at something and go completely blank. Into oblivion. Scary right? Well, the secret behind…
In the fast-evolving era of artificial intelligence, Deep Learning stands as a cornerstone technology, revolutionizing how machines understand, learn, and interact with complex data. At its essence, Deep Learning AI mimics the intricate neural networks of the human brain, enabling computers to autonomously discover patterns and make decisions from vast amounts of unstructured data. This…
Meta has a new AI model that can label and follow any object in a video as it moves around. The Segment Anything Model 2 (SAM 2) extends the capabilities of its predecessor, SAM, which was limited to images, opening up new opportunities for video editing and analysis. SAM 2’s real-time segmentation is a potentially…
