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Understanding the Feedforward Artificial Neural Network Model From the Perspective of Network Flow.

, , and . CoRR, (2017)

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Beyond Visual Retargeting: A Feature Retargeting Approach for Visual Recognition and Its Applications., , and . IEEE Trans. Circuits Syst. Video Techn., 28 (11): 3154-3162 (2018)Understanding the Feedforward Artificial Neural Network Model From the Perspective of Network Flow., , and . CoRR, (2017)Image Retargeting for Preserving Robust Local Feature: Application to Mobile Visual Search., , , and . IEEE Trans. Multimedia, 18 (1): 128-137 (2016)Hole-filling based on disparity map for DIBR., , , , , , , , , and . TIIS, 6 (10): 2663-2678 (2012)Visual Fatigue Reduction Based on Depth Adjustment for DIBR System., , , , , , , , , and . TIIS, 6 (4): 1171-1187 (2012)Deinterlacing of depth-image-based three-dimensional video for a depth-image-based rendering system., , , , , , , and . J. Electronic Imaging, 22 (3): 033031 (2013)A survey on high coherence visual media retargeting: recent advances and applications., and . Frontiers of Computer Science, 10 (5): 778-796 (2016)Foreground Detection in Surveillance Video with Fully Convolutional Semantic Network., , and . ICIP, page 4118-4122. IEEE, (2018)Deep Objective Quality Assessment Driven Single Image Super-Resolution., , , , and . IEEE Trans. Multimedia, 21 (11): 2957-2971 (2019)Cycle-IR: Deep Cyclic Image Retargeting., , , and . CoRR, (2019)