JavaShuo
欄目
標籤
NR-SIQA Using Convolutional Neural Network for Adaptive Feature Extraction
時間 2020-12-23
標籤
圖像質量評價
欄目
系統網絡
简体版
原文
原文鏈接
摘要: 在本文提出的算法中,使用CNN根據圖像的質量分數將圖像進行分類處理,得到網絡高層所提取到的視覺感知特徵。然後使用視覺顯著模型將提取的左右視圖特徵進行融合,同時多尺度下的視差圖統計特徵被提取出來,最終綜合以上特徵,使用SVR進行訓練。 方法詳述 首先,一個CNN模型從零開始訓練,自適應地提取圖像質量感知特徵。使用這個模型,從左右視圖中提取感知特徵,然後左右視圖基於顯著性權重進行融合得到融合特
>>阅读原文<<
相關文章
1.
RCNN(Regions with Convolutional Neural Network Feature)
2.
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
3.
Convolutional Neural Network - Object Detection
4.
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
5.
理解:Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps
6.
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
7.
Convolutional Neural Network
8.
Convolutional Neural Network For Sentence Classification
9.
Synaptic Strength For Convolutional Neural Network
10.
Ensemble Neural Relation Extraction with Adaptive Boosting
更多相關文章...
•
Swift for 循環
-
Swift 教程
•
Scala for循環
-
Scala教程
•
RxJava操作符(六)Utility
•
Flink 數據傳輸及反壓詳解
相關標籤/搜索
extraction
adaptive
convolutional
network
neural
using
feature
feature...setfeature
using&n
platform..using
系統網絡
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
CVPR 2020 論文大盤點-光流篇
2.
Photoshop教程_ps中怎麼載入圖案?PS圖案如何導入?
3.
org.pentaho.di.core.exception.KettleDatabaseException:Error occurred while trying to connect to the
4.
SonarQube Scanner execution execution Error --- Failed to upload report - 500: An error has occurred
5.
idea 導入源碼包
6.
python學習 day2——基礎學習
7.
3D將是頁遊市場新賽道?
8.
osg--交互
9.
OSG-交互
10.
Idea、spring boot 圖片(pgn顯示、jpg不顯示)解決方案
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
RCNN(Regions with Convolutional Neural Network Feature)
2.
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
3.
Convolutional Neural Network - Object Detection
4.
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
5.
理解:Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps
6.
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
7.
Convolutional Neural Network
8.
Convolutional Neural Network For Sentence Classification
9.
Synaptic Strength For Convolutional Neural Network
10.
Ensemble Neural Relation Extraction with Adaptive Boosting
>>更多相關文章<<