Efficient Video Representation
Efficiently representing images as patches allows for manageable computations in video processing. By focusing on a single patch across time, resources are optimized, avoiding quadratic scaling issues. Exploring alternatives, like state space models and diffusion in latent space, could further enhance model efficiency and performance.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Genie: Generative Interactive Environments with Ashley Edwards - 696
Related Questions
How do state space models work in the context of the episode Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip Trends in Stateful Models?
How do state space models work in the context of the episode Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip Sequence Models Explored?
How do state space models work in the context of the episode Mamba, Mamba-2, and Post-Transformer Architectures for Generative AI with Albert Gu - 693 and the clip Trends in Stateful Models?