Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Author:
Affiliation:
1. Peking University PKU-SenseTime Machine Vision Joint Lab,Key Laboratory of Machine Perception (MOE), School of EECS
2. Beihang University,School of Automation Sceience and Electrical Engineering
3. Intel Labs,China
Funder
Research and Development
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711071.pdf?arnumber=9711071
Reference73 articles.
1. Open3D: A modern library for 3D data processing;zhou,2018
2. SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations
3. Continual learning through synaptic intelligence;zenke;Intl Conf on Machine Learning (ICML),2017
4. Lifelong learning with dynamically expandable networks;yoon,0
5. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
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