Continual Evidential Deep Learning for Out-of-Distribution Detection-Reference-Cited by-同舟云学术

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Continual Evidential Deep Learning for Out-of-Distribution Detection

Published:2023-10-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Aguilar Eduardo¹,Raducanu Bogdan²,Radeva Petia²,Van de Weijer Joost²

Affiliation:

1. Universidad Católica del Norte,Dept. de Ingeniería de Sistemas y Computación,Antofagasta,Chile

2. Universitat Autònoma de Barcelona,Computer Vision Center,Barcelona,Spain

Funder

Generalitat de Catalunya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350599.pdf?arnumber=10350599

Reference61 articles.

1. A review of uncertainty quantification in deep learning: Techniques, applications and challenges

2. Continual novelty detection;Aljundi

3. Evidential Deep Learning for Open Set Action Recognition

4. Weight uncertainty in neural network;Blundell

5. What Can Human Sketches Do for Object Detection?

Cited by 2 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. Simulated SAR prior knowledge guided evidential deep learning for reliable few-shot SAR target recognition;ISPRS Journal of Photogrammetry and Remote Sensing;2024-10

2. OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management;Knowledge-Based Systems;2024-02

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