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DriveGenVLM: Advancing Autonomous Driving with Generated Videos and Vision Language Models VLMs

Integrating advanced predictive models into autonomous driving systems has become crucial for enhancing safety and efficiency. Camera-based video prediction emerges as a pivotal component, offering rich real-world data. Content generated by artificial intelligence is presently a leading area of study within the domains of computer vision and artificial intelligence. However, generating photo-realistic and coherent videos…

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What is document classification?

In our hunter-gatherer days, we had to classify objects and beings as food, foe, or friend, for survival. Today our need for classification is less for conservation and more for clarity.  In this era of information overload, document classification is of considerable importance for the efficient management and use of information and knowledge.   In this…

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GaussianOcc: A Self-Supervised Approach for Efficient 3D Occupancy Estimation Using Advanced Gaussian Splatting Techniques

3D occupancy estimation methods initially relied heavily on supervised training approaches requiring extensive 3D annotations, which limited scalability. Self-supervised and weakly-supervised learning techniques emerged to address this issue, utilizing volume rendering with 2D supervision signals. These methods, however, faced challenges, including the need for ground truth 6D poses and inefficiencies in the rendering process. Existing…

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Training AI Models on CPU. Revisiting CPU for ML in an Era of GPU… | by Chaim Rand | Sep, 2024

Revisiting CPU for ML in an Era of GPU Scarcity Photo by Quino Al on UnsplashThe recent successes in AI are often attributed to the emergence and evolutions of the GPU. The GPU’s architecture, which typically includes thousands of multi-processors, high-speed memory, dedicated tensor cores, and more, is particularly well-suited to meet the intensive demands…

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