DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization

Sample-oriented Domain Adaptation for Image Classification

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. The conventional image processing algorithms cannot perform well in scenarios where the training images (source domain) that are used to learn the model have a different distribution with test images (target domain). Also, many real world applicat...

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

A Novel Image Denoising Method Based on Incoherent Dictionary Learning and Domain Adaptation Technique

In this paper, a new method for image denoising based on incoherent dictionary learning and domain transfer technique is proposed. The idea of using sparse representation concept is one of the most interesting areas for researchers. The goal of sparse coding is to approximately model the input data as a weighted linear combination of a small number of basis vectors. Two characteristics should b...

SEIMCHA: a new semantic image CAPTCHA using geometric transformations

As protection of web applications are getting more and more important every day, CAPTCHAs are facing booming attention both by users and designers. Nowadays, it is well accepted that using visual concepts enhance security and usability of CAPTCHAs. There exist few major different ideas for designing image CAPTCHAs. Some methods apply a set of modifications such as rotations to the original imag...

semantic-based image retrial in the vq compressed domain using image annotation statistical models

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