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查看 Scopus 资料
刘 文超
信息与电子学院
h-index
540
引用
11
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2007
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(30)
相似学者
(1)
指纹图谱
深入其中 Wenchao Liu 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Engineering
Adders
26%
Bounding Box
13%
Classification Accuracy
23%
Classification Algorithm
13%
Classification Method
26%
Convolutional Neural Network
59%
Cut Method
13%
Deep Learning
13%
Demonstrates
44%
Detection Procedure
13%
Dual Modulation
13%
Experimental Result
41%
Field Programmable Gate Arrays
8%
Floating Point
10%
High Resolution
20%
Homogeneous Region
6%
Image Classification
13%
Image Processing
6%
Image Reconstruction
8%
Land Cover
6%
Level Curve
6%
Loss Function
6%
Metrics
13%
Modulation Method
13%
Multiple Region
6%
Multiscale
17%
Net Structure
6%
Objective Evaluation
20%
Obtains
16%
Point Operation
8%
Ports and Harbors
6%
Quantization (Signal Processing)
26%
Real Data
6%
Sampling Process
6%
Scale Variation
13%
Scaling Factor
7%
Search Mechanism
13%
Search Method
7%
Segmentation Method
6%
Sensing Image Data
13%
Sensing Imagery
13%
Shift Operation
13%
State-of-the-Art Method
6%
Tasks
33%
Variation Problem
13%
Water Resources
6%
Computer Science
Active Research
6%
Adaptive Channel
6%
Change Detection Method
13%
Changed Region
6%
Classification Accuracy
23%
Classification Algorithm
13%
Classification Framework
16%
Classification Method
26%
Classification Performance
8%
classification result
6%
Classification Task
6%
Compression Module
13%
Convolutional Neural Network
46%
Correlation Analysis
13%
Data Classification
9%
Deep Convolutional Neural Networks
12%
Detection Procedure
6%
Discriminative Feature
30%
Experimental Result
30%
Feature Interaction
13%
Feature Space
13%
Floating-Point Operation
6%
Frequency Scale
13%
Hardware Implementation
13%
Image Classification
13%
Image Interpretation
6%
Information Extraction
6%
Knowledge Distillation
5%
Modulation Method
13%
Multiplication Operation
5%
Multiscale Residual Network
13%
Neural Architecture Search
16%
Neural Network
13%
Performance Degradation
8%
Quantization (Signal Processing)
26%
Reducing Power Consumption
6%
Remote Sensing Image
100%
Residual Neural Network
6%
Rotation Invariant
13%
Saliency Detection
6%
Scaling Factor
7%
Search Mechanism
6%
semantic gap
6%
super resolution
13%
Superior Performance
6%
Swin Transformer
13%
Training Example
6%
Uniform Distribution
6%
