Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Akkaya, İbrahim Batuhan"'
Vision transformers (ViTs) achieve remarkable performance on large datasets, but tend to perform worse than convolutional neural networks (CNNs) when trained from scratch on smaller datasets, possibly due to a lack of local inductive bias in the arch
Externí odkaz:
http://arxiv.org/abs/2305.08551
Autor:
Akkaya, Ibrahim Batuhan, Halici, Ugur
Unsupervised source-free domain adaptation methods aim to train a model for the target domain utilizing a pretrained source-domain model and unlabeled target-domain data, particularly when accessibility to source data is restricted due to intellectua
Externí odkaz:
http://arxiv.org/abs/2212.04227
Publikováno v:
Signal Processing: Image Communication, Volume 104, May 2022, 116675
Despite recent advances, object detection in aerial images is still a challenging task. Specific problems in aerial images makes the detection problem harder, such as small objects, densely packed objects, objects in different sizes and with differen
Externí odkaz:
http://arxiv.org/abs/2203.12976
Publikováno v:
In Pattern Recognition September 2024 153
Deep models trained on large-scale RGB image datasets have shown tremendous success. It is important to apply such deep models to real-world problems. However, these models suffer from a performance bottleneck under illumination changes. Thermal IR c
Externí odkaz:
http://arxiv.org/abs/2106.07165
Autor:
Akkaya, Ibrahim Batuhan, Halici, Ugur
Image-to-image translation (IIT) has made much progress recently with the development of adversarial learning. In most of the recent work, an adversarial loss is utilized to match the distributions of the translated and target image sets. However, th
Externí odkaz:
http://arxiv.org/abs/2009.00878
Publikováno v:
Social Network Analysis & Mining; 3/31/2022, Vol. 12 Issue 1, p1-16, 16p
Autor:
Akkaya, Ibrahim Batuhan, Halici, Ugur
Facial expressions of laboratory mice provide important information for pain assessment to explore the effect of drugs being developed for medical purposes. For automatic pain assessment, a mouse face tracker is needed to extract the face regions in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::1f2a781fcf869e70503bd000a404c87e
https://aperta.ulakbim.gov.tr/record/33759
https://aperta.ulakbim.gov.tr/record/33759
Autor:
Karaman, Kaan, Akkaya, Ibrahim Batuhan
Publikováno v:
Proceedings of SPIE; 8/17/2019, Vol. 11166, p1-10, 10p
Autor:
Akkaya, İbrahim Batuhan
Biyomedikal çalışmalarda laboratuvar fareleri sıklıkla kullanılmaktadır. Yapılan çalışmalar sırasında fare yüz mimikleri, ilgili araştırmacıya pek çok konuda ipuçları vererek önemli veriler sağlamaktadır. Bu sebeple söz konusu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10208::cc30ca98dd5fb8f901bfd1851fbcbf90
https://acikbilim.yok.gov.tr/handle/20.500.12812/239784
https://acikbilim.yok.gov.tr/handle/20.500.12812/239784