Semantic Map Injected GAN Training for Image-to-Image Translation

Image to Image Translation for Domain Adaptation

We propose a general framework for unsupervised domain adaptation, which allows deep neural networks trained on a source domain to be tested on a different target domain without requiring any training annotations in the target domain. This is achieved by adding extra networks and losses that help regularize the features extracted by the backbone encoder network. To this end we propose the novel...

Novel Algorithm for Translation from Image Content to Semantic Form

In this paper we present a new algorithm for translating visual information into a semantic form. In our approach we try to combine these two separate areas of computer since into one process. The main goal is to achieve very good performance at searching for similar images. In this paper we explain in details the design of the translation algorithm which is only one part of the whole process, ...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Semantic Image Based Geolocation Given a Map

The problem visual place recognition is commonly used strategy for localization. Most successful appearance based methods typically rely on a large database of views endowed with local or global image descriptors and strive to retrieve the views of the same location. The quality of the results is often affected by the density of the reference views and the robustness of the image representation...

Semiautomatic Image Retrieval Using the High Level Semantic Labels

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...