Скачать или смотреть Vision Transformers for Open-World Localization (OWL ViT) for Zero-shot object detection

Welcome to our in-depth exploration of Vision Transformers for Open-World Localization (OWL ViT)! In this video, we dive into the cutting-edge OWL ViT model, a groundbreaking approach in computer vision that leverages the power of transformers for enhanced localization in open-world scenarios.

What is OWL.ViT:
OWL-ViT is an open-vocabulary object detector. Given an image and a free-text query, it finds objects matching that query in the image.
Pre-trained on a large dataset of image and text pairs.
OWL-ViT understands textual descriptions. Simply provide a description, such as “red sports car” and OWL-ViT can recognize that object in unseen images!

Whether you're a researcher, developer, or AI enthusiast, this video will equip you with the knowledge and tools to get started with OWL ViT and integrate it into your projects.

Check out the code on GitHub: https://github.com/rickystanley76/owl...

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Hashtags:
#VisionTransformers #OpenWorldLocalization #OWLViT #machinelearning #ai #deeplearning #computervision #transformers #github #airesearch #ml #artificialintelligence #techtutorial #coding #datascience

Model: https://huggingface.co/docs/transform...
huggingface model: https://huggingface.co/google/owlvit-...
Paper: https://arxiv.org/pdf/2205.06230

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