Results 41 to 50 of about 86,509 (306)

Fast Object Detection with Latticed Multi-Scale Feature Fusion

CoRR, 2020
Scale variance is one of the crucial challenges in multi-scale object detection. Early approaches address this problem by exploiting the image and feature pyramid, which raises suboptimal results with computation burden and constrains from inherent network structures.
Yue Shi, Bo Jiang, Zhengping Che, Jian Tang 0008   +3 more
openaire   +2 more sources

HOS-FingerCode: Bispectral invariants based contactless multi-finger recognition system using ridge orientation and feature fusion

, 2022
Fingerprints are a commonly used biometric for civil and forensic applications and the majority of them are captured by contact sensors. More recently, there is a trend toward the use of high resolution digital and video cameras to acquire contactless ...
Thanh, KN, Chandran, V, Mohamed-Abdul-Cader, AJ, Banks, J   +3 more
core   +1 more source

Fast multi-scale feature fusion for ECG heartbeat classification [PDF]

EURASIP Journal on Advances in Signal Processing, 2015
AbstractElectrocardiogram (ECG) is conducted to monitor the electrical activity of the heart by presenting small amplitude and duration signals; as a result, hidden information present in ECG data is difficult to determine. However, this concealed information can be used to detect abnormalities.
Danni Ai, Jian Yang 0009, Zeyu Wang, Jingfan Fan, Changbin Ai, Yongtian Wang   +5 more
openaire   +1 more source

High-Resolution Crowd Density Maps Generation With Multi-Scale Fusion Conditional GAN

IEEE Access, 2020
The major challenges for density maps estimation and accurate counting stem from the large-scale variations, serious occlusions, and perspective distortions.
Shaonian Huang, Hongjing Zhou, Yao Liu, Rongyuan Chen   +3 more
doaj   +1 more source

Scene Text Detection Based on Multi-scale Feature Extraction and Bidirectional Feature Fusion

Journal of Harbin University of Science and Technology
Natural scene text detection is a fundamental research work in the field of image processing and has a wide range of applications. Currently, natural scene text detection usually adopts single-scale convolution and multi-scale feature fusion to ...
LIAN Zhe, YIN Yanjun, ZHI Min, XU Qiaozhi   +3 more
doaj   +1 more source

MSDSANet: Multimodal Emotion Recognition Based on Multi-Stream Network and Dual-Scale Attention Network Feature Representation

Sensors
Aiming at the shortcomings of EEG emotion recognition models in feature representation granularity and spatiotemporal dependence modeling, a multimodal emotion recognition model integrating multi-scale feature representation and attention mechanism is ...
Weitong Sun, Xingya Yan, Yuping Su, Gaihua Wang, Yumei Zhang   +4 more
doaj   +1 more source

ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model

, 2022
Cell segmentation and counting is a time-consuming and important experimental step in traditional biomedical research. Many current counting methods are Point-based methods which require exact cell locations.
SH Wang (7719563), YD Zhang (7719575), L Deng (13408077)   +2 more
core  

RMNET: A Residual and Multi-scale Feature Fusion Network For High-resolution Image Semantic Segmentation [PDF]

, 2023
High-resolution remote sensing images have high clarity and provide signifi cant support for urban planning, resource management, environmental monitoring, and disaster warning. Semantic segmentation accurately helps extract the boundaries of objects,
ZiRui Shen, Xin Li, Sheng Xu
core  

Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]

, 2009
In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk, Gu, Fengshou, Ball, Andrew, Al-Ani, A, Yang, Bo Suk, Tran, Van Tung, Al-Jumaily, A, Khushaba, RN   +7 more
core   +1 more source

Ship Detection in SAR Images Based on Multi-Scale Feature Extraction and Adaptive Feature Fusion

, 2022
Deep learning has attracted increasing attention across a number of disciplines in recent years. In the field of remote sensing, ship detection based on deep learning for synthetic aperture radar (SAR) imagery is replacing traditional methods as a ...
Min Zhang, Kexue Zhou, Hai Wang, Jinlin Tan   +3 more
core   +1 more source