Hao Li, Xiyuan Zheng, Yuanyuan Gao, Yalun Dai, Xinhao Ji, Xuan-Li Chen, Jing Zhao, Fangzhou Hong · 2026 · arXiv
DOI: 10.48550/arXiv.2610.26549 · open-access PDF
Pengalaman egosentris manusia menawarkan dasar yang kaya untuk mempelajari bagaimana dunia diatur dan bagaimana ia berubah melalui interaksi. mewujudkan potensi ini dalam skala membutuhkan mengubah volume pencatatan yang berkembang menjadi sumber pembelajaran yang menghubungkan struktur adegan, semantik objek, dan sejarah interaksi di berbagai sudut pandang dan waktu, sambil mengurangi ketergantungan pada anotasi manual yang mahal.
Machine translation (Meta M2M100); the English original follows.
Human egocentric experience offers a rich foundation for learning how the world is organized and how it changes through interaction. Realizing this potential at scale requires turning growing volumes of recordings into learning resources that connect scene structure, object semantics, and interaction histories across viewpoints and time, while reducing dependence on costly manual annotation. We introduce HOLI-WORLD, an integrated ecosystem connecting experience capture, world representation, automated data construction, model learning, and independent evaluation. To sup- port learning at scale
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