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Found 6 papers, 0 papers with code
On the Evolution of Knowledge Graphs: A Survey and Perspective
Knowledge graphs (KGs) are structured representations of diversified knowledge.
Learning Semantic Abstraction of Shape via 3D Region of Interest
This is in contrast to current methods, which focus solely on either 3D shape abstraction or semantic analysis.
Learning Fine-Grained Segmentation of 3D Shapes without Part Labels
Learning-based 3D shape segmentation is usually formulated as a semantic labeling problem, assuming that all parts of training shapes are annotated with a given set of tags.
A Dataset for Benchmarking Image-Based Localization
One of the evident limitations of existing datasets is that precise ground truth camera poses of query images are not available in a meaningful 3D metric system.
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs
This paper presents a data-driven matching cost for stereo matching.
Segment-Tree Based Cost Aggregation for Stereo Matching
Instead of employing the minimum spanning tree (MST) and its variants, a new tree structure, "Segment-Tree", is proposed for non-local matching cost aggregation.
