Continual Learning about Objects in the Wild: An Interactive Approach-Reference-Cited by-同舟云学术

Continual Learning about Objects in the Wild: An Interactive Approach

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
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Author:

Bohus Dan¹^ORCID,Andrist Sean¹^ORCID,Feniello Ashley¹^ORCID,Saw Nick¹^ORCID,Horvitz Eric²^ORCID

Affiliation:

1. Microsoft Research, United States

2. Microsoft, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3536221.3556567

Reference27 articles.

1. Variable Few Shot Class Incremental and Open World Learning

2. Sean Andrist , Dan Bohus , Ashley Feniello , and Nick Saw . 2022 . Developing Mixed Reality Applications with Platform for Situated Intelligence. In IEEE Conference on Virtual Reality and 3D User Interfaces – Abstracts and Workshops (VRW). IEEE, 48–50 . Sean Andrist, Dan Bohus, Ashley Feniello, and Nick Saw. 2022. Developing Mixed Reality Applications with Platform for Situated Intelligence. In IEEE Conference on Virtual Reality and 3D User Interfaces – Abstracts and Workshops (VRW). IEEE, 48–50.

3. Cognitively-Inspired Model for Incremental Learning Using a Few Examples

4. Dan Bohus Sean Andrist Ashley Feniello Nick Saw Mihai Jalobeanu Patrick Sweeney Anne Loomis Thompson and Eric Horvitz. 2021. Platform for Situated Intelligence. arxiv:2103.15975 [cs.AI] Dan Bohus Sean Andrist Ashley Feniello Nick Saw Mihai Jalobeanu Patrick Sweeney Anne Loomis Thompson and Eric Horvitz. 2021. Platform for Situated Intelligence. arxiv:2103.15975 [cs.AI]

5. Se (3)-transformers: 3d roto-translation equivariant attention networks;Fuchs Fabian;Advances in Neural Information Processing Systems,2020

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3. Online Class Incremental Learning with One-Vs-All Classifiers for Resource Constrained Devices;2023 International Symposium on Image and Signal Processing and Analysis (ISPA);2023-09-18