Graph Based Image Segmentation
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Analysis of Footwear Impression Evidence
www.ojp.govthe components: an attribute relational graph (ARG), based on representing the image as a composite of sub-patterns together with relationships between them. The structural method was found to perform the best and was selected for image retrieval. The structural method is based on rst detecting the presence of geometrical patterns
SLIC Superpixels - Université de Montréal
www.iro.umontreal.ca2.1 Graph-based algorithms In graph based algorithms, each pixel is treated as a node in a graph, and edge weight between two nodes are set proportional to the similarity between the pixels. Superpixel segments are extracted by e ectively minimizing a cost function de ned on the graph. The Normalized cuts algorithm [9], recursively partitions a ...
Convolutional Neural Networks for Visual Recognition
cs231n.stanford.eduThis image is licensed under CC BY-NC-SA 2.0; changes made This image is licensed under CC BY-SA 3.0; changes made Object detection car ime Action recognition bicycling Scene graph prediction <person - holding - hammer> Captioning: a person holding a hammer This image is licensed under CC BY-SA 3.0; changes made
Non-local Neural Networks
arxiv.orgNon-local image processing. Non-local means [4] is a clas-sical filtering algorithm that computes a weighted mean of all pixels in an image. It allows distant pixels to contribute to the filtered response at a location based on patch appearance similarity. This non-local filtering idea was later developed
PCT: Point Cloud Transformer - arXiv
arxiv.orgPCT is based on Transformer, which achieves huge success in natural language processing and displays great potential in image processing. It is inherently permutation invariant for processing a sequence of points, making it well-suited for point cloud learning. To better capture local context within the point cloud, we enhance input embedding with