Robust Object Detection Against Multi-Type Corruption Without Catastrophic Forgetting During Adversarial Training under Harsh Autonomous-Driving Environments
IEEE ACCESS（2023）
Key words
Perturbation methods,Robustness,Vehicle safety,Feature extraction,Degradation,Task analysis,Autonomous vehicles,Autonomous driving,Meteorology,Autonomous-driving,robust object detection,adversarial training,corruption,catastrophic forgetting,feature-level denoising,domain adaptation,intermediate representative feature
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