Results 31 to 40 of about 10,348,785 (252)

MFFRand: Semantic Segmentation of Point Clouds Based on Multi-Scale Feature Fusion and Multi-Loss Supervision

, 2022
With the application of the random sampling method in the down-sampling of point clouds data, the processing speed of point clouds has been greatly improved. However, the utilization of semantic information is still insufficient. To address this problem,
Jinyan Hu, Pan Tang, Jian Chen, Shaojing Song, Zhiqing Miao, Yumei Gong   +5 more
core   +1 more source

Multi-patch and Multi-scale Hierarchical Aggregation Network for Fast Nonhomogeneous ImageDehazing [PDF]

Jisuanji kexue, 2021
Despite dehazing algorithms based on convolutional neural networks have made tremendous progress in synthetic uniform hazy datasets,they still perform poorly on real nonhomogeneous hazy images.In order to achieve fast and effective nonhomogeneous image ...
YANG Kun, ZHANG Juan, FANG Zhi-jun
doaj   +1 more source

Scene Text Detection Based on Multi-scale Feature Extraction and Bidirectional Feature Fusion

Journal of Harbin University of Science and Technology
Natural scene text detection is a fundamental research work in the field of image processing and has a wide range of applications. Currently, natural scene text detection usually adopts single-scale convolution and multi-scale feature fusion to ...
LIAN Zhe, YIN Yanjun, ZHI Min, XU Qiaozhi   +3 more
doaj   +1 more source

MSF-Net: A Lightweight Multi-Scale Feature Fusion Network for Skin Lesion Segmentation

, 2023
Segmentation of skin lesion images facilitates the early diagnosis of melanoma. However, this remains a challenging task due to the diversity of target scales, irregular segmentation shapes, low contrast, and blurred boundaries of dermatological graphics.
Lifan Ren, Lei Ma, Dangguo Shao
core   +1 more source

MSFFusion: Multi-Level Shallow Feature Fusion Network for Pansharpening

Remote Sensing
Pansharpening aims to reconstruct high-resolution multispectral (HRMS) images by integrating the spectral information of low-resolution multispectral (LRMS) images and the spatial details of panchromatic (PAN) images. Although deep learning-based methods
Ziyang Liu, Yong Yang, Shuying Huang, Xiaozheng Wang   +3 more
doaj   +1 more source

-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images

, 2020
Object detection in remote sensing images is a challenging task due to diversified orientation, complex background, dense distribution and scale variation of objects.
Haifeng Zhao, Jun Zhou, Xiong, F, Xinhai Ye, Zhou, J, Jianfeng Lu, Lu, J, Zhao, H, Ye, X, Fengchao Xiong   +9 more
core   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

RMNET: A Residual and Multi-scale Feature Fusion Network For High-resolution Image Semantic Segmentation [PDF]

, 2023
High-resolution remote sensing images have high clarity and provide significant support for urban planning, resource management, environmental monitoring, and disaster warning.
Xu, Sheng, Shen, ZiRui, Li, Xin
core   +2 more sources

High-Resolution Crowd Density Maps Generation With Multi-Scale Fusion Conditional GAN

IEEE Access, 2020
The major challenges for density maps estimation and accurate counting stem from the large-scale variations, serious occlusions, and perspective distortions.
Shaonian Huang, Hongjing Zhou, Yao Liu, Rongyuan Chen   +3 more
doaj   +1 more source

M-FFN: multi-scale feature fusion network for image captioning

, 2022
In this work, we present a novel multi-scale feature fusion network (M-FFN) for image captioning task to incorporate discriminative features and scene contextual information of an image.
Prudviraj, Jeripothula, C, Krishna Mohan, Vishnu, Chalavadi, Jeripothula Prudviraj, Chalavadi Vishnu, Chalavadi Krishna Mohan   +5 more
core   +1 more source