MFAN: Multi-Level Features Attention Network for Fake Certificate Image Detection [PDF]
Entropy, 2022 Up to now, most of the forensics methods have attached more attention to natural content images. To expand the application of image forensics technology, forgery detection for certificate images that can directly represent people’s rights and interests ...
Yu Sun, Rongrong Ni, Yao Zhao
doaj +2 more sources
Hierarchical Image Transformation and Multi-Level Features for Anomaly Defect Detection [PDF]
Sensors, 2023 Anomalies are a set of samples that do not follow the normal behavior of the majority of data. In an industrial dataset, anomalies appear in a very small number of samples.
Isack Farady +3 more
doaj +2 more sources
Multi-task aquatic toxicity prediction model based on multi-level features fusion [PDF]
Journal of Advanced ResearchIntroduction: With the escalating menace of organic compounds in environmental pollution imperiling the survival of aquatic organisms, the investigation of organic compound toxicity across diverse aquatic species assumes paramount significance for ...
Xin Yang +7 more
doaj +2 more sources
MIFFuse: A Multi-Level Feature Fusion Network for Infrared and Visible Images
IEEE Access, 2021 Image fusion operation is beneficial to many applications and is also one of the most common and critical computer vision challenges. The perfect infrared and visible image fusion results should include the important infrared targets while preserving ...
Depeng Zhu +4 more
doaj +1 more source
Remote Sensing, 2021 Multifarious hyperspectral image (HSI) classification methods based on convolutional neural networks (CNN) have been gradually proposed and achieve a promising classification performance.
Dongxu Liu +6 more
doaj +1 more source
A Salient Object Detection Method Based on Boundary Enhancement
Sensors, 2023 Visual saliency refers to the human’s ability to quickly focus on important parts of their visual field, which is a crucial aspect of image processing, particularly in fields like medical imaging and robotics.
Falin Wen +8 more
doaj +1 more source
Multi‐level features extraction network with gating mechanism for crowd counting
IET Image Processing, 2021 Crowd counting is still a practical and challenging problem owing to scale variations and information loss. Most existing methods based on the straightforward fusion of different features from a deep neural network seem to eliminate this limitation ...
Xin Zeng +3 more
doaj +1 more source
MFNet: Multi-Level Feature Extraction and Fusion Network for Large-Scale Point Cloud Classification
Remote Sensing, 2022 The accuracy with which a neural network interprets a point cloud depends on the quality of the features expressed by the network. Addressing this issue, we propose a multi-level feature extraction layer (MFEL) which collects local contextual feature and
Yong Li +5 more
doaj +1 more source
No-Reference Image Quality Assessment Based on a Multitask Image Restoration Network
Applied Sciences, 2023 When image quality is evaluated, the human visual system (HVS) infers the details in the image through its internal generative mechanism. In this process, the HVS integrates both local and global information about the image, utilizes contextual ...
Fan Chen, Hong Fu, Hengyong Yu, Ying Chu
doaj +1 more source
Stereo Matching Method Based on Multi-Scale and Multi-Level Features Fusion [PDF]
Jisuanji gongcheng, 2021 The stereo matching method based on Convolutional Neural Network(CNN) does not make full use of the feature map information of each level in the image,resulting in the poor feature extraction performance in the ill posed region in the image.This paper ...
WANG Jinhe, CHE Zhilong, ZHANG Nan, MENG Fanyun, SU Cuili, TAN Hao
doaj +1 more source