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Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency., , , , , , , , , and 6 other author(s). CVPR Workshops, page 2109-2119. Computer Vision Foundation / IEEE, (2020)PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks., , , , , , , , , and 1 other author(s). ICPR, page 677-684. IEEE, (2022)MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning., , , , , , , , , and 1 other author(s). ECCV Workshops (2), volume 13802 of Lecture Notes in Computer Science, page 729-746. Springer, (2022)Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report., , , , , , , , , and 43 other author(s). ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 130-152. Springer, (2022)Review of Visual Saliency Detection with Comprehensive Information., , , , , and . CoRR, (2018)ImageSpirit: Verbal Guided Image Parsing., , , , , , , , and . CoRR, (2013)Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation., , , , , and . ECCV (9), volume 11213 of Lecture Notes in Computer Science, page 371-388. Springer, (2018)DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection., , , , , and . CoRR, (2019)Model-Agnostic Structured Sparsification with Learnable Channel Shuffle., , , , and . CoRR, (2020)Connectedness of Random Walk Segmentation., and . IEEE Trans. Pattern Anal. Mach. Intell., 33 (1): 200-202 (2011)