Results 241 to 250 of about 833,049 (266)

Partial Multi-View Incomplete Multi-Label Learning Network With Quality-Aware Representation Fusion

IEEE transactions on circuits and systems for video technology (Print)
Recently, the topic of multi-view multi-label classification has aroused significant attention from scholars. Plenty of methods adopt an average weighting scheme to merge the features obtained from multiple views, which commonly ignore the quality ...
Xiaohuan Lu, Jiang Long, Haitao Zhang, Wulin Xie, Lian Zhao, Yinghao Ye, Jie Wen   +6 more
semanticscholar   +1 more source

Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment

IEEE Transactions on Medical Imaging
Captured retinal images vary greatly in quality. Low-quality images increase the risk of misdiagnosis. This motivates to design effective retinal image quality assessment (RIQA) methods. Current deep learning-based methods usually classify the image into
Guanghui Yue, Shaoping Zhang, Tianwei Zhou, Bin Jiang, Weide Liu, Tianfu Wang   +5 more
semanticscholar   +1 more source

Learning Local Quality-Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks

IEEE transactions on multimedia, 2020
The perceptual quality of stereoscopic images plays an essential role in the human perception of visual information. However, most available stereoscopic image quality assessment (SIQA) methods evaluate 3D visual experience using hand-crafted features or
Guangmin Sun, Bufan Shi, Xiaodong Chen, A. Krylov, Yong Ding   +4 more
semanticscholar   +1 more source

Depth quality-aware selective saliency fusion for RGB-D image salient object detection

Neurocomputing, 2020
Fully convolutional networks have shown outstanding performance in the salient object detection (SOD) field. The state-of-the-art (SOTA) methods have a tendency to become deeper and more complex, which easily homogenize their learned deep features ...
Xuehao Wang, Shuai Li, Chenglizhao Chen, A. Hao, Hong Qin   +4 more
semanticscholar   +1 more source

Improved Quality Aware Network Using Quality and Max Pooling Based Late Feature Fusion for Video-Based Person Re-Identification

2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT), 2019
Video-based person re-identification is an important research area in computer vision. Quality Aware Network (QAN) is a model that is robust to noise in the videos. It calculates the weighted average of all the frames' image features, with each frame's quality score as the weight, and generates a video feature.
Yude Shi, Xiao Ke
openaire   +1 more source

A New Automated Signal Quality-Aware ECG Beat Classification Method for Unsupervised ECG Diagnosis Environments

IEEE Sensors Journal, 2019
In this paper, we propose a new automated quality-aware electrocardiogram (ECG) beat classification method for effective diagnosis of ECG arrhythmias under unsupervised healthcare environments.
U. Satija, Barathram Ramkumar, M. Manikandan   +2 more
semanticscholar   +1 more source

MoE-AGIQA: Mixture-of-Experts Boosted Visual Perception-Driven and Semantic-Aware Quality Assessment for AI-Generated Images

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Recently, there has been a surge of interest in AI-Generated Image Quality Assessment (AGIQA). Unlike images in common image quality assessment tasks, AI-generated images may suffer from some unique degradations.
Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng   +5 more
semanticscholar   +1 more source

GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation

Neural Information Processing Systems
In this work, we introduce the Geometry-Aware Large Reconstruction Model (GeoLRM), an approach which can predict high-quality assets with 512k Gaussians and 21 input images in only 11 GB GPU memory.
Chubin Zhang, Hongliang Song, Yi Wei, Yu Chen, Jiwen Lu, Yansong Tang   +5 more
semanticscholar   +1 more source

Cooperative Caching in Satellite-Terrestrial Integrated Networks: A Region Features Aware Approach

IEEE Transactions on Vehicular Technology
As an essential part of the next-generation communication system, the satellite-terrestrial integrated network (STIN) can provide Internet access and content delivery services for terrestrial users in remote areas.
Jin Tang, Jian Li, Xianhao Chen, Kaiping Xue, Lan Zhang, Qibin Sun, Jun Lu   +6 more
semanticscholar   +1 more source

Real-Time Quality-Aware PPG Waveform Delineation and Parameter Extraction for Effective Unsupervised and IoT Health Monitoring Systems

IEEE Sensors Journal, 2019
In this paper, we present a real-time quality-aware pulse waveform delineation and parameter extraction method for accurate and reliable measurements of pulse parameters from photoplethysmogram (PPG) signals.
Simhadri Vadrevu, M. Manikandan
semanticscholar   +1 more source