Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Demirel, Berkan"'
Few-shot object detection, the problem of modelling novel object detection categories with few training instances, is an emerging topic in the area of few-shot learning and object detection. Contemporary techniques can be divided into two groups: fin
Externí odkaz:
http://arxiv.org/abs/2304.12161
Image caption generation is one of the most challenging problems at the intersection of vision and language domains. In this work, we propose a realistic captioning task where the input scenes may incorporate visual objects with no corresponding visu
Externí odkaz:
http://arxiv.org/abs/2108.06165
Image caption generation is a long standing and challenging problem at the intersection of computer vision and natural language processing. A number of recently proposed approaches utilize a fully supervised object recognition model within the captio
Externí odkaz:
http://arxiv.org/abs/1908.00047
In this paper, we propose an unified hyperspectral image classification method which takes three-dimensional hyperspectral data cube as an input and produces a classification map. In the proposed method, a deep neural network which uses spectral and
Externí odkaz:
http://arxiv.org/abs/1905.09211
In this work, we propose a zero-shot learning method to effectively model knowledge transfer between classes via jointly learning visually consistent word vectors and label embedding model in an end-to-end manner. The main idea is to project the vect
Externí odkaz:
http://arxiv.org/abs/1905.06764
Publikováno v:
Published in British Machine Vision Conference 2018
Object detection is considered as one of the most challenging problems in computer vision, since it requires correct prediction of both classes and locations of objects in images. In this study, we define a more difficult scenario, namely zero-shot o
Externí odkaz:
http://arxiv.org/abs/1805.06157
Publikováno v:
In Image and Vision Computing August 2022 124
We propose a novel approach for unsupervised zero-shot learning (ZSL) of classes based on their names. Most existing unsupervised ZSL methods aim to learn a model for directly comparing image features and class names. However, this proves to be a dif
Externí odkaz:
http://arxiv.org/abs/1705.01734
Publikováno v:
Issue: 24 258-261
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Biometrics technology is very important in terms of security issues like the identification of personal identity. Many solutions have been offered regarding biometric technology such as eyes-iris recognition, face recognition and vein pattern recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::d31470c0e1708b4eaa21477de5b1e07d
https://dergipark.org.tr/tr/pub/ejosat/issue/60926/903999
https://dergipark.org.tr/tr/pub/ejosat/issue/60926/903999
Autor:
Demirel, Berkan
Attributes are mid-level semantic concepts which describe visual appearance, functional affordance or other human-understandable aspects of objects and scenes. In the recent years, several works have investigated the use of attributes to solve variou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::df063a81d4b1b6de9981d9b9ab8b3d05
http://hdl.handle.net/11655/3103
http://hdl.handle.net/11655/3103