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SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems

2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC(2023)

Cited 4|Views33
Key words
Automated Vehicles,Counterfactual Explanations,Promising Approach,Deep Neural Network,Deep Models,Sparsity,Generative Adversarial Networks,Baseline Methods,Decision Model,Decision Boundary,Output Model,Saliency Map,Deep Generative Models,Safety-critical Applications,Loss Function,Behavioral Model,Performance Metrics,Feature Space,Input Image,Target Label,Explainable Artificial Intelligence,Query Image,Deep Neural Network Model,Fake Images,Distribution Of Images,Variational Autoencoder,Traffic Light,Translational Model,Salient Regions
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