Multi-scale features fusion module.
, 2022 Multi-scale features fusion module.
Junnian Wang (13970197) +4 more
core +1 more source
Evaluating Precipitation Features and Rainfall Characteristics in a Multi‐Scale Modeling Framework
Journal of Advances in Modeling Earth Systems, 2020 Cloud and precipitation systems are simulated with a multi‐scale modeling framework (MMF) and compared over the Tropics and Subtropics against the Tropical Rainfall Measuring Mission (TRMM) Radar‐defined Precipitation Features (RPFs) product.
Jiun‐Dar Chern +4 more
doaj +1 more source
Multi-scale Multi-attention Network for Moiré Document Image Binarization
, 2021 In this paper, we propose a Multi-scale Multi-attention Network (MsMa-Net) to binarize document images contaminated by moiré patterns from camera-captured screens.
Ji, Caijuan +4 more
core +1 more source
CLOUD DETECTION BY FUSING MULTI-SCALE CONVOLUTIONAL FEATURES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Clouds detection is an important pre-processing step for accurate application of optical satellite imagery. Recent studies indicate that deep learning achieves best performance in image segmentation tasks.
Z. Li +6 more
doaj +1 more source
Extraction and fusion of multi-scale features.
, 2022 Extraction and fusion of multi-scale features.
Junnian Wang (13970197) +4 more
core +1 more source
Details of our multi-scale spatial focus features enhancement strategy.
, 2022 The input of the module is the output of the last convolutional layer. First, a soft attention mechanism with SPP is used to obtain the multi-scale spatial features.
Guoan Yang (602228) +6 more
core +1 more source
Selecting surface features for accurate multi-camera surface reconstruction [PDF]
, 2009 This paper proposes a novel feature detector for selecting local textures that are suitable for accurate multi-camera surface reconstruction, and in particular planar patch fitting techniques.
Roland Wilson +3 more
core +1 more source
Mixed-dimensional consistent coupling by multi-point constraint equations for efficient multi-scale modeling [PDF]
, 2012 Finding an appropriate linking method to connect different dimensional element types in a single finite element model is a key issue in the multi-scale modeling.
Ling, Z.H. +3 more
core +1 more source
Deep Multi-Scale Features Learning for Distorted Image Quality Assessment
, 2021 Image quality assessment (IQA) aims to estimate human perception based image visual quality. Although existing deep neural networks (DNNs) have shown significant effectiveness for tackling the IQA problem, it still needs to improve the DNN- based quality
Chen, Zhibo +3 more
core +1 more source
Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]
, 2006 Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
core +1 more source