Putting Image Manipulations in Context: Robustness Testing for Safe Perception-Reference-Cited by-同舟云学术

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Putting Image Manipulations in Context: Robustness Testing for Safe Perception

Published:2018-08 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
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Author:

Pezzementi Zachary,Tabor Trenton,Yim Samuel,Chang Jonathan K.,Drozd Bill,Guttendorf David,Wagner Michael,Koopman Philip

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8457068/8468601/08468619.pdf?arnumber=8468619

Cited by 12 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

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2. Development of an Effective Corruption-Related Scenario-Based Testing Approach for Robustness Verification and Enhancement of Perception Systems in Autonomous Driving;Sensors;2024-01-04

3. Learning to generate training datasets for robust semantic segmentation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. Evaluating the Effect of Common Annotation Faults on Object Detection Techniques;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09

5. Local performance evaluation of AI-algorithms with the generalized spatial recall index;tm - Technisches Messen;2023-05-24

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