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Future Horizons in Computer Vision
This chapter explores recent advancements in computer vision, emphasizing the potential for universal models and the significance of self-supervised learning. It discusses the integration of memory dynamics, generative models, and the roles of simulated data in advancing technologies like autonomous driving. Looking ahead to 2024, it anticipates innovations in multimodal content creation and embodied AI, fostering a collaborative research environment for continued progress.