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Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge.

, , , , , , , , , , and . WACV, page 53-62. IEEE, (2024)

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Adversarial Robust Model Compression Using In-Train Pruning., , , , , , , , , and 2 other author(s). CVPR Workshops, page 66-75. Computer Vision Foundation / IEEE, (2021)DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks., , , , and . CVPR Workshops, page 1353-1360. Computer Vision Foundation / IEEE, (2019)Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving., , , , , , and . ICRA, page 2295-2301. IEEE, (2020)Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge., , , , , , , , , and 1 other author(s). WACV, page 53-62. IEEE, (2024)Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization., , , , , , , , and . BMVC, page 60. BMVA Press, (2021)BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks., , , , , , , , , and 1 other author(s). IntelliSys (1), volume 294 of Lecture Notes in Networks and Systems, page 148-167. Springer, (2021)SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation., , , and . WACV, page 197-206. IEEE, (2021)ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks., , , , , , and . DAC, page 1-6. IEEE, (2020)MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow., , and . CSCS, page 1:1-1:8. ACM, (2020)A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions., , and . CoRR, (2020)