Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Kaan Karaman"'
Autor:
A. Aydin Alatan, Kaan Karaman
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
Automatic Target Recognition XXXI.
Deep metric learning is an approach to establish a distance metric between data to measure the similarity. Metric learning methods map an input image to a representative feature space where semantically similar samples are closer and dissimilar examp
Publikováno v:
SIU
Face recognition is a key task of computer vision research that has been employed for various purposes. There are many studies in the literature that attempts for solving this problem. Especially in recent years, deep learning methods have been utili
Publikováno v:
SIU
Metric learning is a frequently utilized method that can be applied to many different computer vision problems and; thus, facilitates these problems. In this paper, the proposed method for manipulating the feature space with the help of quadruplets,
Autor:
Ibrahim Akkaya, Kaan Karaman
Publikováno v:
Real-Time Image Processing and Deep Learning 2020.
Real-time face verification from a live stream is still an open question, although it is quite popular in recent years. In order to overcome this problem, several bio-metric techniques are widely used for authentication purposes, both in military and
Autor:
Kaan Karaman, Ibrahim Akkaya
Publikováno v:
Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies III.
Autor:
Kaan Karaman, Berkan Solmaz
Publikováno v:
SIU
The presence of rapidly increasing visual data adds importance to the computer vision studies for automatic analysis and interpretation of content. Although the nervous and sensory systems in humans easily perform the processes such as understanding
Publikováno v:
Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II.
Face recognition is a key task of computer vision research that has been employed in various security and surveillance applications. Recently, the importance of this task has risen with the improvements in the quality of sensors of cameras, as well a
Publikováno v:
SIU
Recently, the deep learning based feature learning methodologies have been developed to recognize the objects in fine-grained detail. In order to increase the discriminativeness and robustness of the utilized features, this paper proposes a sample se
Publikováno v:
Electro-Optical Remote Sensing XI.
The need for capabilities of automated visual content analysis has substantially increased due to presence of large number of images captured by surveillance cameras. With a focus on development of practical methods for extracting effective visual da