Shape Matching and Object Recognition

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Dynamic Graph CNN for Learning on Point Clouds (2018, background): “A comprehensive overview of hand-designed point features is out of the scope of this paper, but we refer the reader to [Biasotti et al. 2016; Guo et al. 2014; Van Kaick et al. 2011] for discussion.”
Scene Classification Using a Hybrid Generative/Discriminative Approach (2008, background): “Berg et al. [ 1 ], Grauman and Darrell [14], Zhang et al. [35] etc.”
In defense of Nearest-Neighbor based image classification (2008, background): “‘GB Vote NN’ [ 3 ]u ses an image-to-class NN-based voting scheme (without descriptor quantization), but each descriptor votes only to a single (nearest) class, hence the inferior performance.”
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition (2006, result): “Figure 4. Correctness rate of Algorithm B (plotted the same format as in [42] and [15]), best viewed in color, Results from this work and others: Lazebnik, Schmid & Ponce [18], Berg [ 2 ], Mutch & Lowe [27], Grauman & Darrell [15], Berg, Berg & Malik [3], Wang, Zhang & Fei-Fei [42], Holub, Welling &”
Object Detection by Contour Segment Networks (2006, background): “Several measures of shape similarity have been proposed [2, 1].”