The proposed framework is a relation network (RN), whose objective is to learn the similarity between pairs of samples (pixels) in the same hyperspectral images. Once trained, the proposed relation network is able to classify each testing sample in the hyperspectral images by computing the ...
Using the interpersonal relation dataset, they trained the new Siamese network end-to-end to map raw pixels of a pair of face images to relation traits. Then, they performed relation traits reasoning using face rep- resentation and additional spatial cues. In this work, authors proposed a ...
Consider, for example, the dissimilarity between pixels of an image consisting of elements with irregular-shaped contours. To solve this problem, some approaches can be found in the literature. For example, in Ref. [8], the dissimilarity between two points is defined as a function of their ...
The partitioning algorithm discussed here runs in $$O(n/g log n/g)$$ where n being the number of pixels on the periphery of digital object and g being the grid size. The experimental result shows the efficiency of the algorithm. 展开全部 机器翻译 参考文献(24) 被引用(0) 社区问答 ...
Recently, graph convolution networks (GCNs) are widely used in HSI classification task due to its ability to capture short-range and long-range contextual relations between pixels [18], [19], [20]. For instance, Hong et al. [20] proposed a mini-batch GCN for HSI classification, which too...
Samples are taken with known features in the field and compared with spectral signatures of pixels in the input images. These image classifications were performed using a widely used maximum likelihood classifier technique (Settle and Briggs 1987; Liang et al. 2022). For multi-temporal ...
{c}\)) block for action classification. These features have a spatial output stride of 16 pixels and a temporal output stride of 4 frames. Regions inMixed_4fcorresponding to actor RPN proposals are temporally flattened and used as the input for the action classification network. We will refer...
(2) The existing detection models fail to make full use of prior knowledge and ignore the inseparable relations between smoke and other objects, while these contextual relations are exactly important; (3) There may be some regions in the background that are similar to the smoke shape, which ...
These features have a spatial output stride of 16 pixels and a temporal output stride of 4 frames. Regions in Mixed 4f corresponding to actor RPN proposals are temporally flattened and used as the input for the action classification network. We will refer to the h × w × c feature map ...
7. A method of processing images, comprising: storing a digital image with corresponding auxiliary data; displaying a part of the digital image on a monitor, a second digital image, and a positional relationship between the second digital image and the digital image; generating auxiliary data whic...