Search results with tag "For image recognition"
Siamese Neural Networks for One-shot Image Recognition
www.cs.cmu.eduTo develop a model for one-shot image classification, we aim to first learn a neural network that can discriminate between the class-identity of image pairs, which is the standard verification task for image recognition. We hy-pothesize that networks which do well at at verification should generalize to one-shot classification. The verifica-
Deep Residual Learning for Image Recognition
www.cv-foundation.orgResidual Representations. In image recognition, VLAD [18] is a representation that encodes by the residual vectors with respect to a dictionary, and Fisher Vector [30] can be formulated as a probabilistic version [18] of VLAD. Both of them are powerful shallow representations for image re-trieval and classification [4, 47]. For vector ...
Local Relation Networks for Image Recognition
openaccess.thecvf.comLocal Relation Networks for Image Recognition ... recognition tasks1. By learning how to adaptively compose 1For example, geometric priors are intrinsically encoded in the con- ... is also achieved with basic residual blocks and on deeper networks (50 and 101 layers).