Vision Pretraining for Dense Spatial Perception
Boundary modeling enables dense spatial perception by learning sub-pixel representations that enhance depth estimation and support embodied AI applications.
Hugging Face · Daily Papers
·Zelin Fu, Bin Tan
·
·▲ 25 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Zelin Fu, Bin Tan, Changjiang Sun, Shaohui Liu, Kecheng Zheng, Yinghao Xu
- 25 upvotes da comunidade
- Temas: boundary modeling, masked boundary modeling, visual foundation models, spatial perception, depth completion, embodied artificial intelligence
Resumo
Resumo original (em inglês), extraído do paper:
Boundary modeling enables dense spatial perception by learning sub-pixel representations that enhance depth estimation and support embodied AI applications.Onde ler
// relacionados
Leia também
Blog
Meta ran ads for an app promising to nudify female politicians
Blog
Relativity Networks raises $22 million to bring a faster kind of fiber to data centers
Blog
Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision
Blog