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Segment and Label Indoor Scene Based on RGB-D for the Visually Impaired., , , and . MMM (1), volume 8325 of Lecture Notes in Computer Science, page 449-460. Springer, (2014)The analysis of the convergence speed for an iterative learning scheme., , , and . ICARCV, page 1945-1951. IEEE, (2004)RGB-D joint modelling with scene geometric information for indoor semantic segmentation., , , and . Multimedia Tools Appl., 77 (17): 22475-22488 (2018)iSee: obstacle detection and feedback system for the blind., , , and . UbiComp/ISWC Adjunct, page 197-200. ACM, (2015)Deep key frame extraction for sport training., , , , , and . Neurocomputing, (2019)An End-to-end Approach for Lexical Stress Detection based on Transformer., , , , , , and . CoRR, (2019)XDF-REPA: A Densely Labeled Dataset toward Refined Pronunciation Assessment for English Learning., , , , , and . O-COCOSDA, page 1-6. IEEE, (2019)A Novel Multi-Feature Descriptor for Human Detection Using Cascaded Classifiers in Static Images., , , and . J. Signal Process. Syst., 81 (3): 377-388 (2015)Active Video Hashing via Structure Information Learning for Activity Analysis., , and . IEEE Access, (2020)An Optimization Method Inspired by "chaotic" Ant Behavior., , , and . Int. J. Bifurc. Chaos, 16 (8): 2351-2364 (2006)