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Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving.

, , , , , , и . ICRA, стр. 2295-2301. IEEE, (2020)

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Beate Claudia Frickenstein

Marie-Luise Frickenstein

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Alexander Stadler

Messtechnische Bestimmung und Simulation der Kernverluste in weichmagnetischen Materialien. Uni Erlangen-Nürnberg, (2009)

Alexander Auch

A phylogenetic potpourri: computational methods for analysing genome scale data. Uni Tübingen, (2010)
 

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HAPPi-Net: Hardware-Aware Performant Perception of Neural Networks.. Technical University of Munich, Germany, (2021)Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs., , , , , , , и . DATE, стр. 706-711. IEEE, (2022)Adversarial Robust Model Compression Using In-Train Pruning., , , , , , , , , и 2 other автор(ы). CVPR Workshops, стр. 66-75. Computer Vision Foundation / IEEE, (2021)Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands., , , , , , , , , и 2 other автор(ы). ICRA, стр. 13430-13437. IEEE, (2021)Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments., , , , , , , , и . IV Workshops, стр. 228-235. IEEE, (2021)The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective., , , , , , , , , и 8 other автор(ы). DATE, стр. 1-6. IEEE, (2023)WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration., , , , , , , и . DAC, стр. 1-6. IEEE, (2023)ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks., , , , , , и . DAC, стр. 1-6. IEEE, (2020)BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks., , , , , , , , , и 1 other автор(ы). IntelliSys (1), том 294 из Lecture Notes in Networks and Systems, стр. 148-167. Springer, (2021)Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization., , , , , , , , и . BMVC, стр. 60. BMVA Press, (2021)