Results 21 to 30 of about 10,348,785 (252)

Multi-Scale Feature Fusion for Interior Style Detection

Applied Sciences, 2022
Text-based search engines can extract various types of information when a user enters an appropriate search query. However, a text-based search often fails in image retrieval when image understanding is needed.
Akitaka Yaguchi, Keiko Ono, Erina Makihara, Naoya Ikushima, Tomomi Nakayama   +4 more
doaj   +1 more source

Multi-channel feature fusion process diagram.

, 2022
Multi-channel feature fusion process diagram.
Guoxiong Zhou (12245608), Aibin Chen (8911154), Zongchen Li (12476737), Yaowen Hu (9187133), Chao Lu (4374), Yahui Hu (692949), Yanfeng Wang (735038), Mingfang He (482440)   +7 more
core   +1 more source

A method of single‐shot target detection with multi‐scale feature fusion and feature enhancement

IET Image Processing, 2022
The Single Shot MultiBox Detector (SSD) is one of the fastest detection algorithms. Although it has achieved good results in detection, it also has the problem of poor detection effect for small targets and occlusion between objects.
Zhong Qu, Xue Shang, Shu‐Fang Xia, Tu‐Ming Yi, Dong‐Yang Zhou   +4 more
doaj   +1 more source

Image emotion distribution learning based on multiscale feature fusion

四川大学学报. 自然科学版, 2023
Visual emotion analysis aims to analyze the emotional response of human beings to visual stimuli, which has attracted multimedia visual data related fields such as sharing platforms and social networking in recent years.
ZHANG Jian-Jun, ZHAO Xiao-Ming, HE Ya-Dong, WEN Hong-Qian, QING Lin-Bo   +4 more
doaj  

Attention Fusion of Transformer-Based and Scale-Based Method for Hyperspectral and LiDAR Joint Classification

Remote Sensing, 2023
In recent years, there have been many multimodal works in the field of remote sensing, and most of them have achieved good results in the task of land-cover classification.
Maqun Zhang, Feng Gao, Tiange Zhang, Yanhai Gan, Junyu Dong, Hui Yu   +5 more
doaj   +1 more source

The pipeline of Multi-scale Feature Enhanced Adaptive Fusion Network (MFEAFN).

, 2022
The pipeline of Multi-scale Feature Enhanced Adaptive Fusion Network (MFEAFN).
Shusheng Li (503955), Lu Tang (655389), Liang Wan (119472), Zhining Zhang (10583870)   +3 more
core   +1 more source

Multi-scale features fusion module.

, 2022
Multi-scale features fusion module.
Junnian Wang (13970197), Jialin Tang (399815), Ruihan Xu (12263776), Feng Ni (160522), Wenjun Yu (644052)   +4 more
core   +1 more source

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

IEEE Access, 2020
Automatic assessing the location and extent of liver and liver tumor is critical for radiologists, diagnosis and the clinical process. In recent years, a large number of variants of U-Net based on Multi-scale feature fusion are proposed to improve the ...
Tongle Fan, Guanglei Wang, Yan Li, Hongrui Wang   +3 more
doaj   +1 more source

Single-Stage Object Detection Algorithm Based on Dilated Convolution and Feature Enhancement [PDF]

Jisuanji gongcheng, 2021
The shallow feature map of the object detection algorithm based on Convolutional Neural Network(CNN) lacks semantic information,while the deep feature map lacks detailed information.In order to fully exploit shallow and deep feature maps and solve the ...
JIANG Jun, ZHAI Donghai
doaj   +1 more source

Fast and Accurate Super-Resolution of FY-2 Infrared Cloud Images via Multi-Scale Fusion Network

IEEE Access, 2019
This paper proposes an effective method to improve the spatial resolution of FengYun-2 (FY-2) infrared cloud images via deep convolutional neural networks.
Yecai Guo, Pengfei Xiao, Mei Xue
doaj   +1 more source