DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding
While deep neural networks have led to human-level performance on computer vision tasks, they have yet to demonstrate similar
gains for holistic scene understanding. In particular, 3D context has been shown to be an extremely important cue for scene understanding - yet very little research has been done on integrating context information with deep models. This paper presents an approach to embed 3D context into the topology of a neural network trained to perform holistic scene understanding. Given a depth i
25 views
1735
787
1 year ago 05:43:41 47
Create a Large Language Model from Scratch with Python – Tutorial
1 year ago 00:51:11 1
DL2022: Обучение без учителя, часть 1
1 year ago 01:22:10 1
DL2022: Самообучение (Self-Supervision), часть 1
3 years ago 01:31:58 15
Language-Agnostic Representation Learning of Source Code from Structure and Context
4 years ago 00:11:53 1
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation [Paper Explained]
4 years ago 00:59:35 9
AMAAI Webinar - Disentangled representation learning by GM-VAEs by Yin-Jyun Luo
9 years ago 00:04:51 25
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding