Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Md. Maklachur Rahman"'
Publikováno v:
IEEE Access, Vol 8, Pp 100857-100869 (2020)
Template based learning, particularly Siamese networks, has recently become popular due to balancing accuracy and speed. However, preserving tracker robustness against challenging scenarios with real-time speed is a primary concern for visual object
Externí odkaz:
https://doaj.org/article/19de3e4073fb4530ba6d1bdf4039e071
Publikováno v:
IEEE Access, Vol 8, Pp 100857-100869 (2020)
Template based learning, particularly Siamese networks, has recently become popular due to balancing accuracy and speed. However, preserving tracker robustness against challenging scenarios with real-time speed is a primary concern for visual object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b6fa8bfa2f463bc23a1d9742d582790
https://ieeexplore.ieee.org/document/9102303/
https://ieeexplore.ieee.org/document/9102303/
Autor:
Md. Maklachur Rahman, Soon Ki Jung
Publikováno v:
Information Extraction and Object Tracking in Digital Video
Tracking with the siamese network has recently gained enormous popularity in visual object tracking by using the template-matching mechanism. However, using only the template-matching process is susceptible to robust target tracking because of its in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbcad80a9df28e97a39d178a0fdd85ff
https://mts.intechopen.com/articles/show/title/siamese-based-attention-learning-networks-for-robust-visual-object-tracking
https://mts.intechopen.com/articles/show/title/siamese-based-attention-learning-networks-for-robust-visual-object-tracking
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030816377
IW-FCV
IW-FCV
With the development of Generative deep learning algorithms in the last decade, it has become increasingly difficult to differentiate between what is real and what is fake. With the easily available “Deepfake” applications, even a person with les
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17286b9418df8842a0fe33bc6d7548fe
https://doi.org/10.1007/978-3-030-81638-4_11
https://doi.org/10.1007/978-3-030-81638-4_11
Publikováno v:
Electronics, Vol 9, Iss 1918, p 1918 (2020)
Electronics
Volume 9
Issue 11
Electronics
Volume 9
Issue 11
Siamese network-based trackers are broadly applied to solve visual tracking problems due to its balanced performance in terms of speed and accuracy. Tracking desired objects in challenging scenarios is still one of the fundamental concerns during vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec6d42e3e8100a661c85648ddf5c8d58
https://www.mdpi.com/2079-9292/9/11/1918
https://www.mdpi.com/2079-9292/9/11/1918
Autor:
Arif Mahmood, Mustansar Fiaz, Sehar Shahzad Farooq, Md. Maklachur Rahman, Soon Ki Jung, Ki Yeol Baek
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811548178
IW-FCV
IW-FCV
Recently, template based discriminative trackers, especially Siamese network based trackers have shown great potential in terms of balanced accuracy and tracking speed. However, it is still difficult for Siamese models to adapt the target variations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1cef6519bce057a6d974d296f3d7e54
https://doi.org/10.1007/978-981-15-4818-5_13
https://doi.org/10.1007/978-981-15-4818-5_13
Autor:
Md. Maklachur Rahman
With the rapid development of information technology and multimedia, the use of digital data is increasing day by day. So it becomes very essential to protect multimedia information from piracy and also it is challenging. A great deal of Copyright ow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25352f9fdd0069d56d4aac135ea2ff06