Zobrazeno 1 - 10
of 318
pro vyhledávání: '"Liu, Yong"'
Semi-supervised learning (SSL) has shown considerable potential in medical image segmentation, primarily leveraging consistency regularization and pseudo-labeling. However, many SSL approaches only pay attention to low-level consistency and overlook
Externí odkaz:
http://arxiv.org/abs/2406.19649
Autor:
Zhu, Guanghao, Liu, Lin, Hu, Yuhao, Sun, Haixin, Liu, Fang, Du, Xiaohui, Hao, Ruqian, Liu, Juanxiu, Liu, Yong, Deng, Hao, Zhang, Jing
Micro-expressions (MEs) are subtle facial movements that occur spontaneously when people try to conceal the real emotions. Micro-expression recognition (MER) is crucial in many fields, including criminal analysis and psychotherapy. However, MER is ch
Externí odkaz:
http://arxiv.org/abs/2406.17538
Benefiting from the advancements in large language models and cross-modal alignment, existing multi-modal video understanding methods have achieved prominent performance in offline scenario. However, online video streams, as one of the most common me
Externí odkaz:
http://arxiv.org/abs/2406.08085
Autor:
Zhang, Jiangning, He, Haoyang, Gan, Zhenye, He, Qingdong, Cai, Yuxuan, Xue, Zhucun, Wang, Yabiao, Wang, Chengjie, Xie, Lei, Liu, Yong
Visual anomaly detection aims to identify anomalous regions in images through unsupervised learning paradigms, with increasing application demand and value in fields such as industrial inspection and medical lesion detection. Despite significant prog
Externí odkaz:
http://arxiv.org/abs/2406.03262
Autor:
Nie, Qiang, Fu, Weifu, Lin, Yuhuan, Li, Jialin, Zhou, Yifeng, Liu, Yong, Zhu, Lei, Wang, Chengjie
Instance-incremental learning (IIL) focuses on learning continually with data of the same classes. Compared to class-incremental learning (CIL), the IIL is seldom explored because IIL suffers less from catastrophic forgetting (CF). However, besides r
Externí odkaz:
http://arxiv.org/abs/2406.03065
Deep learning models are widely recognized for their effectiveness in identifying medical image findings in disease classification. However, their limitations become apparent in the dynamic and ever-changing clinical environment, characterized by the
Externí odkaz:
http://arxiv.org/abs/2406.01054
Autor:
Liu, Yong, Dong, Hang, Pan, Jinshan, Dong, Qingji, Chen, Kai, Zhang, Rongxiang, Fu, Lean, Wang, Fei
Diffusion models significantly improve the quality of super-resolved images with their impressive content generation capabilities. However, the huge computational costs limit the applications of these methods.Recent efforts have explored reasonable i
Externí odkaz:
http://arxiv.org/abs/2405.17158
Autor:
Huang, Kun, Ma, Xiao, Zhang, Yuhan, Su, Na, Yuan, Songtao, Liu, Yong, Chen, Qiang, Fu, Huazhu
Optical coherence tomography (OCT) image analysis plays an important role in the field of ophthalmology. Current successful analysis models rely on available large datasets, which can be challenging to be obtained for certain tasks. The use of deep g
Externí odkaz:
http://arxiv.org/abs/2405.16516
The newly proposed Generalized Referring Expression Segmentation (GRES) amplifies the formulation of classic RES by involving multiple/non-target scenarios. Recent approaches focus on optimizing the last modality-fused feature which is directly utili
Externí odkaz:
http://arxiv.org/abs/2405.15658
Autor:
Tai, Hanchen, He, Qingdong, Zhang, Jiangning, Qian, Yijie, Zhang, Zhenyu, Hu, Xiaobin, Wang, Yabiao, Liu, Yong
Open-vocabulary 3D scene understanding presents a significant challenge in the field. Recent advancements have sought to transfer knowledge embedded in vision language models from the 2D domain to 3D domain. However, these approaches often require le
Externí odkaz:
http://arxiv.org/abs/2405.15580