Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios-Reference-Cited by-同舟云学术

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Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Balasubramanian Lakshman,Kruber Friedrich,Botsch Michael,Deng Ke

Funder

Bavarian State Ministry for Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9575127/9575130/09575433.pdf?arnumber=9575433

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Open-Set Identification of Minerals From CRISM Hyperspectral Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Open-Set Object Detection for the Identification and Localization of Dissimilar Novel Classes by means of Infrastructure Sensors;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. A Metacognitive Approach to Out-of-Distribution Detection for Segmentation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Categorizing Data-Driven Methods for Test Scenario Generation to Assess Automated Driving Systems;IEEE Access;2024

5. Enhancing Continual Deep Open-Set Recognition with Perceptive Unknown Feature Search;2023 6th International Conference on Applied Computational Intelligence in Information Systems (ACIIS);2023-10-23

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