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pro vyhledávání: '"Sha, Qutub Syed"'
Autor:
Sha, Qutub Syed, Paulitsch, Michael, Pattabiraman, Karthik, Hagn, Korbinian, Oboril, Fabian, Buerkle, Cornelius, Scholl, Kay-Ulrich, Hinz, Gereon, Knoll, Alois
As transformer-based object detection models progress, their impact in critical sectors like autonomous vehicles and aviation is expected to grow. Soft errors causing bit flips during inference have significantly impacted DNN performance, altering pr
Externí odkaz:
http://arxiv.org/abs/2406.03229
Transient or permanent faults in hardware can render the output of Neural Networks (NN) incorrect without user-specific traces of the error, i.e. silent data errors (SDE). On the other hand, modern NNs also possess an inherent redundancy that can tol
Externí odkaz:
http://arxiv.org/abs/2310.19449