Results 11 to 20 of about 10,348,785 (252)

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   +2 more sources

Progressively Multi-Scale Feature Fusion for Image Inpainting

Mathematics, 2023
The rapid advancement of Wise Information Technology of med (WITMED) has made the integration of traditional Chinese medicine tongue diagnosis and computer technology an increasingly significant area of research.
Wu Wen, Tianhao Li, Amr Tolba, Ziyi Liu, Kai Shao   +4 more
doaj   +2 more sources

Object Detection in Remote Sensing Images Based on Adaptive Multi-Scale Feature Fusion Method

Remote Sensing
Multi-scale object detection is critical for analyzing remote sensing images. Traditional feature pyramid networks, which are aimed at accommodating objects of varying sizes through multi-level feature extraction, face significant challenges due to the ...
Chun Liu, Sixuan Zhang, Mengjie Hu, Qing Song   +3 more
doaj   +2 more sources

Improved U-Net Multi-scale Feature Fusion Semantic Segmentation Network for RemoteSensing Images [PDF]

Jisuanji kexue
High spatial resolution of remote sensing images,the large scale differences of different types of objects,and the imba-lance of categories are the main challenges faced by accurate semantic segmentation tasks.In order to improve the accuracy of semantic
JIANG Wenwen, XIA Ying
doaj   +2 more sources

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   +2 more sources

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   +3 more sources

Tan-qqh/Multi-scale-Feature-Fusion-for-Precipitation-Nowcasting: Deep Learning Model based on Multi-scale Feature Fusion for Precipitation Nowcasting

, 2023
Deep Learning Model based on Multi-scale Feature Fusion for Precipitation ...
Tan-qqh
core   +1 more source

Multi-scale feature fusion method based on task design.

, 2022
Multi-scale feature fusion method based on task design.
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 Novel 2D-3D CNN with Spectral-Spatial Multi-Scale Feature Fusion for Hyperspectral Image Classification

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, Guangliang Han, Peixun Liu, Hang Yang, Xinglong Sun, Qingqing Li, Jiajia Wu   +6 more
doaj   +1 more source

Effect comparison chart of multi-scale feature fusion.

, 2022
Effect comparison chart of multi-scale feature fusion.
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