Results 1 to 10 of about 287,251 (295)

Dual feature fusion network: A dual feature fusion network for point cloud completion

IET Computer Vision, 2022
Point cloud data in the real world is often affected by occlusion and light reflection, leading to incompleteness of the data. Large‐region missing point clouds will cause great deviations in downstream tasks.
Fang Gao, Pengbo Shi, Jiabao Wang, Wenbo Li, Yaoxiong Wang, Jun Yu, Yong Li, Feng Shuang   +7 more
doaj   +2 more sources

Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion

South African Computer Journal, 2017
The feature level, unlike the match score level, lacks multi-modal fusion guidelines. This work demonstrates a new approach for improved image-based biometric feature-fusion.
Dane Brown, Karen Bradshaw
doaj   +5 more sources

Multistage feature fusion knowledge distillation

Scientific Reports
Generally, the recognition performance of lightweight models is often lower than that of large models. Knowledge distillation, by teaching a student model using a teacher model, can further enhance the recognition accuracy of lightweight models.
Gang Li, Kun Wang, Pengfei Lv, Pan He, Zheng Zhou, Chuanyun Xu   +5 more
doaj   +3 more sources

Tailor: Inter-Feature Distinction Filter Fusion Pruningtailor: Inter-Feature Distinction Filter Fusion Pruning

SSRN Electronic Journal, 2023
Xuming Han, Liya Chu, Ke Wang, Liming Wang, Yue Lin, Weiping Ding, Tianlong Gu, Jian Weng   +7 more
openalex   +2 more sources

Attentional Feature Fusion [PDF]

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
Accepted by WACV ...
Dai, Yimian, Gieseke, Fabian, Oehmcke, Stefan, Wu, Yiquan, Barnard, Kobus   +4 more
openaire   +3 more sources

Robust Image Matching Based on Image Feature and Depth Information Fusion

Machines, 2022
In this paper, we propose a robust image feature extraction and fusion method to effectively fuse image feature and depth information and improve the registration accuracy of RGB-D images.
Zhiqiang Yan, Hongyuan Wang, Qianhao Ning, Yinxi Lu   +3 more
doaj   +1 more source

Face recognition using ensemble statistical local descriptors

Journal of King Saud University: Computer and Information Sciences, 2023
The use of data fusion can be of a enormous help in boosting classification performance. Feature fusion is a data fusion technique that is being considered in this study.
Alaa Eleyan
doaj   +1 more source

Stereo 3D Object Detection Using a Feature Attention Module

Algorithms, 2023
Stereo 3D object detection remains a crucial challenge within the realm of 3D vision. In the pursuit of enhancing stereo 3D object detection, feature fusion has emerged as a potent strategy.
Kexin Zhao, Rui Jiang, Jun He
doaj   +1 more source

Adaptive Feature Pyramid Networks for Object Detection

IEEE Access, 2021
In general object detection, scale variation is always a big challenge. At present, feature pyramid networks are employed in numerous methods to alleviate the problems caused by large scale range of objects in object detection, which makes use of multi ...
Chengyang Wang, Caiming Zhong
doaj   +1 more source

Research on the Application of Multi-Source Information Fusion in Multiple Gait Pattern Transition Recognition

Sensors, 2022
Multi-source information fusion technology is a kind of information processing technology which comprehensively processes and utilizes multi-source uncertain information.
Chaoyue Guo, Qiuzhi Song, Yali Liu
doaj   +1 more source