DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition

Author:

Grcić MatejORCID,Bevandić PetraORCID,Šegvić SinišaORCID

Publisher

Springer Nature Switzerland

Cited by 23 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. Hybrid Open-Set Segmentation With Synthetic Negative Data;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

2. Ensemble Uncertainty Guided Road Scene Anomaly Detection: A Simple Meta-Learning Approach;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. A comprehensive analysis of real-time video anomaly detection methods for human and vehicular movement;Multimedia Tools and Applications;2024-04-24

4. Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data;Sensors;2024-02-15

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

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