Results 11 to 20 of about 86,509 (306)

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

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   +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

A Multi-Scale Feature Fusion Hybrid Convolution Attention Model for Birdsong Recognition

Applied Sciences
Birdsong is a valuable indicator of rich biodiversity and ecological significance. Although feature extraction has demonstrated satisfactory performance in classification, single-scale feature extraction methods may not fully capture the complexity of ...
Lianglian Gu, Guangzhi Di, Danju Lv, Yan Zhang, Yueyun Yu, Wei Li, Ziqian Wang   +6 more
doaj   +2 more sources

Multiscale Feature Extraction and Fusion of Image and Text in VQA

International Journal of Computational Intelligence Systems, 2023
The Visual Question Answering (VQA) system is the process of finding useful information from images related to the question to answer the question correctly.
Siyu Lu, Yueming Ding, Mingzhe Liu, Zhengtong Yin, Lirong Yin, Wenfeng Zheng   +5 more
doaj   +1 more source

Multi‐scale feature fusion pyramid attention network for single image dehazing

IET Image Processing, 2023
Texture and color distortion are common in existing learning‐based dehazing algorithms, and it is argued that one of the major reasons is that the shallow features of fog images are underutilized, and the deep features of fog images are insufficient for ...
Jianlei Liu, Peng Liu, Yuanke Zhang
doaj   +1 more source

YOLO-Based Multi-Modal Weighted Fusion Pedestrian Detection Algorithm [PDF]

Jisuanji gongcheng, 2021
The performance of single-modal pedestrian detection algorithms based on visible images is limited in the cases of insufficient light at night, lack of information caused by target occlusion, and multi-scale targets. In order to improve the robustness of
SHI Zheng, MAO Li, SUN Jun
doaj   +1 more source

Adaptive Feature Pyramid Networks for Object Detection

IEEE Access, 2021
In general object detection, scale variation is always a big challenge. At present, feature pyramid networks are employed in numerous methods to alleviate the problems caused by large scale range of objects in object detection, which makes use of multi ...
Chengyang Wang, Caiming Zhong
doaj   +1 more source

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

An Optimized PatchMatch for multi-scale and multi-feature label fusion [PDF]

NeuroImage, 2016
Neuroimage ...
Rémi Giraud, Vinh-Thong Ta 0002, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative   +6 more
openaire   +5 more sources