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Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks., , and . CoRR, (2019)Feature selection for object detection: The best group vs. the group of best., and . MIPRO, page 1192-1197. IEEE, (2014)Proper scale for modeling visual data., and . Image Vis. Comput., 16 (2): 89-98 (1998)View-based object representations using RBF networks., and . Image Vis. Comput., 19 (9-10): 619-629 (2001)Optimization Framework for Learning a Hierarchical Shape Vocabulary for Object Class Detection., , and . BMVC, page 1-12. British Machine Vision Association, (2009)Visual object tracking performance measures revisited., , and . CoRR, (2015)Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database., , , , and . CoRR, (2017)Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model., , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (4): 941-953 (2013)Superquadrics for Segmenting and Modeling Range Data., , and . IEEE Trans. Pattern Anal. Mach. Intell., 19 (11): 1289-1295 (1997)A Direct Recovery of Superquadric Models in Range Images Using Recover-and-Select Paradigm., , and . ECCV (1), volume 800 of Lecture Notes in Computer Science, page 309-318. Springer, (1994)