Results 1 to 10 of about 9,950,964 (296)

Multi-Stage Multi-Scale Local Feature Fusion for Infrared Small Target Detection

Remote Sensing, 2023
The detection of small infrared targets with dense distributions and large-scale variations is an extremely challenging problem. This paper proposes a multi-stage, multi-scale local feature fusion method for infrared small target detection to address ...
Yahui Wang, Yan Tian, Jijun Liu, Yiping Xu   +3 more
doaj   +4 more sources

Multi-Scale Feature Interactive Fusion Network for RGBT Tracking

Sensors, 2023
The fusion tracking of RGB and thermal infrared image (RGBT) is paid wide attention to due to their complementary advantages. Currently, most algorithms obtain modality weights through attention mechanisms to integrate multi-modalities information.
Xianbing Xiao, Xingzhong Xiong, Fanqin Meng, Zhen Chen   +3 more
doaj   +5 more sources

MSLF-Net: A Multi-Scale and Multi-Level Feature Fusion Net for Diabetic Retinopathy Segmentation

Diagnostics, 2022
Diabetic Retinopathy (DR) is a diabetic complication that predisposes patients to visual impairments that could lead to blindness. Lesion segmentation using deep learning algorithms is an effective measure to screen and prevent early DR.
Haitao Yan, Jiexin Xie, Deliang Zhu, Lukuan Jia, Shijie Guo   +4 more
doaj   +4 more sources

Face Verification with Multi-Task and Multi-Scale Feature Fusion [PDF]

Entropy, 2017
Face verification for unrestricted faces in the wild is a challenging task. This paper proposes a method based on two deep convolutional neural networks (CNN) for face verification.
Xiaojun Lu, Yue Yang, Weilin Zhang, Qi Wang, Yang Wang   +4 more
doaj   +4 more sources

A multi-scale feature fusion gaze estimation model based on convolutional neural network and vision transformer [PDF]

Scientific Reports
To address ineffective feature fusion and feature loss in gaze estimation under unconstrained environments, this study proposes a multi-scale feature fusion model, CAF-ViT (Cross-Attention Fusion Vision Transformer).
Peng Wang, Xuena Wang, Shuo Yuan, Shan Cong   +3 more
doaj   +2 more sources

Video summarization based on multi-scale feature fusion. [PDF]

PLoS One
Video summarization aims to identify the important segments of a video and form a concise representation, enabling users to quickly grasp the core information. Existing graph-based video summarization methods suffer from insufficient modeling of multi-scale feature interactions and difficulties in balancing local and global features.
Bao J, Xu S, Zhang J.
europepmc   +2 more sources

SSD with multi-scale feature fusion and attention mechanism

Scientific Reports, 2022
Abstract In the field of the Internet of Things, image acquisition equipment is the very important equipment, which will generate lots of invalid data during real-time monitoring. Analyzing the data collected directly from the terminal by edge calculation, we can remove invalid frames and improve the accuracy of system detection.
Qiang Liu, Lijun Dong, Zhigao Zeng, Wenqiu Zhu, Yanhui Zhu, Chen Meng   +5 more
openaire   +3 more sources

Revisiting Multi-Scale Feature Fusion for Semantic Segmentation

CoRR, 2022
It is commonly believed that high internal resolution combined with expensive operations (e.g. atrous convolutions) are necessary for accurate semantic segmentation, resulting in slow speed and large memory usage. In this paper, we question this belief and demonstrate that neither high internal resolution nor atrous convolutions are necessary.
Tianjian Meng, Golnaz Ghiasi, Reza Mahjourian, Quoc V. Le, Mingxing Tan   +4 more
openaire   +2 more sources

EEG Emotion Recognition by Fusion of Multi-Scale Features

Brain Sciences, 2023
Electroencephalogram (EEG) signals exhibit low amplitude, complex background noise, randomness, and significant inter-individual differences, which pose challenges in extracting sufficient features and can lead to information loss during the mapping process from low-dimensional feature matrices to high-dimensional ones in emotion recognition algorithms.
Xiuli Du, Yifei Meng, Shaoming Qiu, Yana Lv, Qingli Liu   +4 more
openaire   +3 more sources

Attention‐based multi‐scale feature fusion for free‐space detection

IET Intelligent Transport Systems, 2022
Free space detection is a very important task in road scene understanding. With the continued development of convolutional neural networks, free‐space detection can be seen as a class‐specific semantic segmentation problem.
Pengfei Song, Hui Fan, Jinjiang Li, Feng Hua   +3 more
doaj   +1 more source