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From Deep to Shallow: Transformations of Deep Rectifier Networks., , , and . CoRR, (2017)How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances?, , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 514-523. JMLR.org, (2015)A Survey on Deep Learning Techniques for Stereo-based Depth Estimation., , , and . CoRR, (2020)SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification., , , , , , and . Remote. Sens., 14 (17): 4288 (2022)SkeletonNet: Mining Deep Part Features for 3-D Action Recognition., , , , and . IEEE Signal Process. Lett., 24 (6): 731-735 (2017)Atrous convolutional feature network for weakly supervised semantic segmentation., , , , and . Neurocomputing, (2021)A novel feature representation for automatic 3D object recognition in cluttered scenes., , and . Neurocomputing, (2016)Quantitative performance evaluation of object detectors in hazy environments., , and . Pattern Recognit. Lett., (2021)Evolutionary Feature Learning for 3-D Object Recognition., , , and . IEEE Access, (2018)32 Bit ×32 Bit Multiprecision Razor-Based Dynamic Voltage Scaling Multiplier With Operands Scheduler., , and . IEEE Trans. Very Large Scale Integr. Syst., 22 (4): 759-770 (2014)