With the help of a convolutional neural network (CNN) trained to recognize objects, a scene image is represented as a bag of semantics (BoS).

Abstract: With the help of a convolutional neural network (CNN) trained to recognize objects, a scene image is represented as a bag of semantics (BoS).

Semantic image classification has been a topic of significant interest in com- puter vision. Many authors have argued for the merit of semantically mean-.

The proposed FV represents an embedding for object classification probabilities, complementary to the features obtained from a scene classification CNN, ...

With the help of a convolutional neural network (CNN) trained to recognize objects, a scene image is represented as a bag of semantics (BoS).

With the help of a convolutional neural network (CNN) trained to recognize objects, a scene image is represented as a bag of semantics (BoS).

Supplement: Scene Classification with Semantic Fisher Vectors. 1. Direct Implementation of a Semantic Fisher. Vector. We follow the derivations in Appendix A ...

Very high resolution (VHR) image scene classification is the most challenging of remote sensing data analysis, that has attracted researchers' attention.

May 27, 2019 · Abstract:The transfer of a neural network (CNN) trained to recognize objects to the task of scene classification is considered.

BibSonomy is offered by the Data Science Chair of the University of Würzburg, the Information Processing and Analytics Group of the Humboldt-Unversität zu ...