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西北工业大学 国内
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计算机学院
西北工业大学
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简介
(34)
科研成果
(3904)
指纹
深入其中 计算机学院 为活跃的研究主题。这些主题标签来自该组织中成员的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Experimental Result
100%
Convolutional Neural Network
35%
Hyperspectral Image
33%
Image Segmentation
30%
Image Classification
28%
Deep Learning Method
28%
Speech Recognition
25%
Attention (Machine Learning)
24%
Unmanned Aerial Vehicle
23%
Deep Neural Network
20%
Feature Extraction
20%
super resolution
19%
Neural Network
18%
Reinforcement Learning
17%
Object Detection
16%
Art Performance
14%
Learning Framework
13%
Tracking Object
12%
Representation Learning
12%
Annotation
12%
Training Data
12%
Speech Synthesis
11%
Superior Performance
11%
Mobile Device
11%
Sparse Representation
11%
Generative Adversarial Networks
11%
Social Network
10%
Detection Method
10%
Deep Learning Model
9%
Recurrent Neural Network
9%
de-noising
9%
Contrastive Learning
9%
Regularization
9%
Broadcast News
9%
Deep Convolutional Neural Networks
8%
Computer Vision
8%
Sparsity
8%
Learning System
8%
Support Vector Machine
8%
Long Short-Term Memory Network
8%
Machine Learning
8%
Case Study
8%
Feature Map
8%
Adversarial Machine Learning
8%
Graph Convolutional Network
8%
Federated Learning
8%
Synthetic Aperture
8%
Point Cloud
7%
Training Sample
7%
Graph Neural Network
7%
Feature Space
7%
Language Modeling
7%
Classification Method
7%
local feature
7%
Anomaly Detection
7%
Diffusion Model
7%
Remote Sensing Image
7%
Autoencoder
7%
Segmentation Task
7%
Good Performance
7%
Cyber Physical Systems
7%
Ontology
7%
U-Net
6%
Text To Speech
6%
Feature Fusion
6%
Data Augmentation
6%
Speech Enhancement
6%
Decision-Making
6%
Tracking Algorithm
6%
Classification Task
6%
Learning Approach
6%
image feature
6%
Internet-Of-Things
6%
Extracted Feature
6%
Genetic Algorithm
6%
Training Process
6%
Image Analysis
5%
Information Retrieval
5%
Computational Method
5%
Energy Efficient
5%
Neural Architecture Search
5%
Contextual Information
5%
Prediction Model
5%
Image Synthesis
5%
Wireless Sensor Network
5%
Segmentation Model
5%
Multitask Learning
5%
Generalization Ability
5%
High Dynamic Range Imaging
5%
Optimization Problem
5%
Prediction Accuracy
5%
Training Model
5%
Segmentation Method
5%
Unsupervised Domain Adaptation
5%
Tumor Segmentation
5%
Transfer Learning
5%
Baseline Method
5%
Pre-Trained Model
5%
path-planning
5%
Based Object Tracking
5%
Engineering
Experimental Result
57%
Deep Learning Method
23%
Convolutional Neural Network
21%
Similarity
19%
Multiscale
18%
Hyperspectral Image
17%
Unmanned Aerial Vehicle
14%
State-of-the-Art Method
13%
Reinforcement Learning
13%
Deep Neural Network
11%
Light Field
10%
Target Tracking
9%
Joints (Structural Components)
9%
Synthetic Aperture Radar
8%
High Resolution
7%
Feature Extraction
7%
Synthetic Aperture Radar Images
7%
Metrics
7%
Nodes
7%
Sparsity
6%
Image Classification
6%
Autoencoder
5%
Regularization
5%
Path Planning
5%
Image Sequence
5%
Moving Object
5%
Dynamic Range
5%
Simulation Result
5%
Medical Image
5%