Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Hu, Yongjian"'
Video instance segmentation, also known as multi-object tracking and segmentation, is an emerging computer vision research area introduced in 2019, aiming at detecting, segmenting, and tracking instances in videos simultaneously. By tackling the vide
Externí odkaz:
http://arxiv.org/abs/2310.12393
Autor:
Cai, Rizhao, Yu, Zitong, Kong, Chenqi, Li, Haoliang, Chen, Changsheng, Hu, Yongjian, Kot, Alex
Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces. State-of-the-art FAS techniques predominantly rely on deep learning models but their cross-domain generalization capabilities
Externí odkaz:
http://arxiv.org/abs/2309.04038
Learning generalized face anti-spoofing (FAS) models against presentation attacks is essential for the security of face recognition systems. Previous FAS methods usually encourage models to extract discriminative features, of which the distances with
Externí odkaz:
http://arxiv.org/abs/2308.09107
Face forgery detection is essential in combating malicious digital face attacks. Previous methods mainly rely on prior expert knowledge to capture specific forgery clues, such as noise patterns, blending boundaries, and frequency artifacts. However,
Externí odkaz:
http://arxiv.org/abs/2304.12489
3D Skeleton-based human action recognition has attracted increasing attention in recent years. Most of the existing work focuses on supervised learning which requires a large number of labeled action sequences that are often expensive and time-consum
Externí odkaz:
http://arxiv.org/abs/2304.08799
Face Anti-Spoofing (FAS) is recently studied under the continual learning setting, where the FAS models are expected to evolve after encountering the data from new domains. However, existing methods need extra replay buffers to store previous data fo
Externí odkaz:
http://arxiv.org/abs/2303.09914
Recently, vision transformer (ViT) based multimodal learning methods have been proposed to improve the robustness of face anti-spoofing (FAS) systems. However, there are still no works to explore the fundamental natures (\textit{e.g.}, modality-aware
Externí odkaz:
http://arxiv.org/abs/2302.05744
Face presentation attack detection (PAD) has been extensively studied by research communities to enhance the security of face recognition systems. Although existing methods have achieved good performance on testing data with similar distribution as t
Externí odkaz:
http://arxiv.org/abs/2205.03792
Autor:
Lin, Xufeng, Li, Chang-Tsun, Adams, Scott, Kouzani, Abbas, Jiang, Richard, He, Ligang, Hu, Yongjian, Vernon, Michael, Doeven, Egan, Webb, Lawrence, Mcclellan, Todd, Guskic, Adam
As an essential prerequisite task in image-based plant phenotyping, leaf segmentation has garnered increasing attention in recent years. While self-supervised learning is emerging as an effective alternative to various computer vision tasks, its adap
Externí odkaz:
http://arxiv.org/abs/2203.15943
Publikováno v:
In Journal of Computational and Applied Mathematics 1 October 2024 448
