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The “Zero-Shot” Mirage: How Data Scarcity Limits Multimodal AI

Marktechpost

Don’t Forget to join our 40k+ ML SubReddit The post The “Zero-Shot” Mirage: How Data Scarcity Limits Multimodal AI appeared first on MarkTechPost. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Computer Vision in Robotics – An Autonomous Revolution

Viso.ai

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

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Computer Vision in Robotics – An Autonomous Revolution

Viso.ai

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

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This Paper Introduces TF-T2V: A Novel Text-to-Video Generation Framework with Impressive Scalability and Performance Improvements

Marktechpost

A fascinating field of study in artificial intelligence and computer vision is the creation of videos based on written descriptions. This innovative technology combines creativity and computation and has numerous potential applications, including film production, virtual reality, and automated content generation.

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Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. Future trends and challenges Viso Suite is an end-to-end computer vision platform.

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Synth2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings by Researchers from Google DeepMind

Marktechpost

Recent advancements in high-quality image generators have sparked interest in using generative models for synthetic data generation. This trend impacts various computer vision tasks, including semantic segmentation, human motion understanding, and image classification. The researchers from Google DeepMind have proposed Synth2.

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University of Cambridge Researchers Introduce a Dataset of 50,000 Synthetic and Photorealistic Foot Images along with a Novel AI Library for Foot

Marktechpost

The health, fashion, and fitness industries are highly interested in the difficult computer vision problem of 3D reconstructing human body parts from pictures. They also make available a sizable collection of artificially photorealistic photos matched with ground truth labels for these kinds of signals to overcome data scarcity.