Results 21 to 30 of about 791,315 (305)
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
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
SSD with multi-scale feature fusion and attention mechanism
Scientific Reports, 2022 Abstract In the field of the Internet of Things, image acquisition equipment is the very important equipment, which will generate lots of invalid data during real-time monitoring. Analyzing the data collected directly from the terminal by edge calculation, we can remove invalid frames and improve the accuracy of system detection.
Qiang Liu +5 more
openaire +3 more sources
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
Chinese Sentiment Analysis Based on CNN-BiLSTM Model of Multi-level and Multi-scale Feature Extraction [PDF]
Jisuanji kexue, 2023 Sentiment analysis,as a sub-field of natural language processing(NLP),plays a very important role in public opinion monitoring.In the Chinese sentiment analysis task,the existing methods only consider sentiment features from single-level and single-scale,
WANG Lin, MENG Zuqiang, YANG Lina
doaj +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
A multi-scale features-based method to detect Oplegnathus
Information Processing in Agriculture, 2021 It is of great significance to use underwater video and image processing technology to detect and analyze fish behaviors. In this paper, an Oplegnathus image dataset for fish behaviors study by deep learning algorithm is constructed, and the data is ...
Jun Yue +6 more
doaj +1 more source
Efficient Multi-Scale Feature Generation Adaptive Network [PDF]
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021 Recently, an early exit network, which dynamically adjusts the model complexity during inference time, has achieved remarkable performance and neural network efficiency to be used for various applications. So far, many researchers have been focusing on reducing the redundancy of input sample or model architecture.
Gwanghan Lee +3 more
openaire +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