novel类的表示和分类之间存在着矛盾:一方面来说,为了实现准确地将novel类分类,两个base类的分布必须彼此远离(Max-margin);另一方面,为了精确地表示novel类,base类的分布应该彼此接近,以减少novel类的类内距离(Min-margin)。 如何在分类和表示中取得平衡,是一个问题。 创新点 提出了一种类边界均衡(CME)方法,旨在系...
Maji, S., Malik, J.: Object detection using a max-margin hough transform. In: CVPR (2009)Subhransu Maji and Jitendra Malik. "Object detection using a max-margin Hough trans- form". In: Computer Vision and Pattern Recognition (CVPR). 2009....
16. A method, comprising: defining a multimodal data set comprising objects having image information and semantic labels of the image information in a semantic space, comprising a plurality of training instances, each training instance comprising an object and at least one associated semantic label, ...
We illustrate this work by computer vision applications including image labeling, object detection and localization, and motion estimation. We speculate that better results can be obtained by using better bounds and approximations.doi:10.1007/s11460-012-0170-6Alan YuilleXuming HeSP Higher Education ...
Malik. Object detection using a max-margin hough transform. In CVPR, 2009.Maji, S,Malik, J."Object detection using a max-margin hough transform". IEEE Conference on Computer Vision and Pattern Recognition . 2009Contour-Based Object Detection Using Max-Margin Hough Transform. Ahmadi MP, M,...
An apparatus and method to implement object detection with a zero-shot learning model. The apparatus and method are configured to provide at least one embedding matrix of the zero-shot learning model, to provide unseen data for one or more unseen instances, to update the embedding matrix ...
An apparatus and method to implement object detection with a zero-shot learning model. The apparatus and method are configured to provide at least one embedding matrix of the zero-shot learning model, to provide unseen data for one or more unseen instances, to update the embedding matrix ...
Recently, a DCNet consisting of a dense relation distillation module and a context-aware aggregation module has achieved remarkable performance for the few-shot object detection task. In this article, we aim to improve the DCNet from the following two aspects. First, we design an...
An apparatus and method to implement object detection with a zero-shot learning model. The apparatus and method are configured to provide at least one embedding matrix of the zero-shot learning model, to provide unseen data for one or more unseen instances, to update the embedding matrix ...