Zobrazeno 1 - 6
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pro vyhledávání: '"Anh-Khoa Nguyen Vu"'
Autor:
Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
Publikováno v:
IEEE Access, Vol 12, Pp 103488-103503 (2024)
Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camouflaged animals in natural scenes. In this paper, we address the probl
Externí odkaz:
https://doaj.org/article/9d138a03af0546a8bce45a7dd2437583
Autor:
Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Tam V. Nguyen
Publikováno v:
IEEE Transactions on Image Processing. 32:2374-2385
Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to effectively utilizing the relationship between categories. In this pape
Autor:
Xuan-Duong Nguyen, Anh-Khoa Nguyen Vu, Thanh-Danh Nguyen, Nguyen Phan, Bao-Duy Duyen Dinh, Nhat-Duy Nguyen, Tam V. Nguyen, Vinh-Tiep Nguyen, Duy-Dinh Le
Publikováno v:
Signal, Image and Video Processing. 16:2193-2201
Publikováno v:
2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).
Publikováno v:
MAPR
Few-shot object detection (FSOD) is a challenging task in which detectors are trained to recognize unseen objects with limited training data. The majority of existing methods are evaluated on the benchmarks built with a fixed quantity of base and nov
Autor:
Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Khanh-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen
Publikováno v:
Image and Vision Computing. 120:104398