The Impact of Domain Randomization on Object Detection: A Case Study on Parametric Shapes and Synthetic Textures*

Author:

Dehban Atabak,Borrego Joao,Figueiredo Rui,Moreno Plinio,Bernardino Alexandre,Santos-Victor Josa

Publisher

IEEE

Cited by 20 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. 3D Segmentation of Bin Picking by Domain Randomization;Communications in Computer and Information Science;2024

2. Vision-Based Corrosion Identification Using Data-Driven Semantic Segmentation Techniques;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

3. Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Making Autonomous Stores Smarter (MASS): A Practical Solution to Improve Product Detection Performance Using Synthetic Dataset at Scale;2023 IEEE 8th International Conference on Smart Cloud (SmartCloud);2023-09-16

5. A Hybrid Approach for Accurate 6D Pose Estimation of Textureless Objects From Monocular Images;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12

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