Results 1 to 10 of about 372,115 (318)

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   +3 more sources

DMFF-Net: a multi-scale feature fusion network based on DeepLabV3 for skin lesion segmentation. [PDF]

Front Med (Lausanne)
Jiang T, Wang S, Xu L, Yin J, Zhang L, Zhang Y, Guo J, Zhang P.   +7 more
europepmc   +3 more sources

Liver CT image segmentation network based on multi-scale feature fusion. [PDF]

Sci Rep
Zhu D, Ma T, Zhang L, Hu S, Sun J, Wang Y.   +5 more
europepmc   +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

Scene Uyghur Text Detection Based on Fine-Grained Feature Representation

Sensors, 2022
Scene text detection task aims to precisely localize text in natural environments. At present, the application scenarios of text detection topics have gradually shifted from plain document text to more complex natural scenarios.
Yiwen Wang, Hornisa Mamat, Xuebin Xu, Alimjan Aysa, Kurban Ubul   +4 more
doaj   +1 more source

A Real-Time Cell Image Segmentation Method Based on Multi-Scale Feature Fusion. [PDF]

Bioengineering (Basel)
Zhang X, Zhang Y, Li Z, Song Y, Chen S, Mao Z, Liu Z, Liao G, Nie L.   +8 more
europepmc   +3 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

DMSF-YOLO: Cow Behavior Recognition Algorithm Based on Dynamic Mechanism and Multi-Scale Feature Fusion. [PDF]

Sensors (Basel)
Wu C, Fang J, Wang X, Zhao Y.
europepmc   +3 more sources

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