閱讀筆記：VISUALCOMFORTASSESSMENTOFSTEREOSCOPICIMAGES USINGDEEPVISUALANDDISPARITYFEATURESBAS
題目：基於人體注意力的深度視覺和視差特徵的立體圖像舒適度評估 特徵選取：視差大小和梯度特徵 訓練方法：深度卷積神經網絡 數據庫：IEEE-SA 總體框圖： 其中，deep siamese network:深度級聯網絡；differential微分； 實驗： 1. 2.
相關文章
- 1. 閱讀筆記：VISUAL COMFORT ASSESSMENT FOR STEREOSCOPIC 3D IMAGES BASED ON SALIENT DISCOMFORT REGIONS
- 2. 閱讀筆記:Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D
- 3. 閱讀筆記：A Visual Comfort Assessment Approach of Stereoscopic Images based on Random Forest Regressor
- 4. 閱讀筆記：Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dict
- 5. 閱讀筆記：Visual comfort evaluated by hue asymmetries in stereoscopic images
- 6. 閱讀筆記：3D Visual Discomfort Predictor: Analysis of Horizontal Disparity and Neural Activity Statistics
- 7. [解讀] Deep Clustering for Unsupervised Learning of Visual Features
- 8. 論文閱讀《Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images》
- 9. Deep Clustering for Unspervised Learning of Visual Features
- 10. 論文閱讀筆記（audio-visual相關）—Co-Separating Sounds of Visual Objects
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • PHP 實例 - AJAX RSS 閱讀器 - PHP教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • JDK13 GA發佈：5大特性解讀
相關標籤/搜索
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. Duang!超快Wi-Fi來襲
- 2. 機器學習-補充03 神經網絡之**函數(Activation Function)
- 3. git上開源maven項目部署 多module maven項目（多module maven+redis+tomcat+mysql）後臺部署流程學習記錄
- 4. ecliple-tomcat部署maven項目方式之一
- 5. eclipse新導入的項目經常可以看到「XX cannot be resolved to a type」的報錯信息
- 6. Spark RDD的依賴於DAG的工作原理
- 7. VMware安裝CentOS-8教程詳解
- 8. YDOOK：Java 項目 Spring 項目導入基本四大 jar 包 導入依賴，怎樣在 IDEA 的項目結構中導入 jar 包 導入依賴
- 9. 簡單方法使得putty（windows10上）可以免密登錄樹莓派
- 10. idea怎麼用本地maven
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 閱讀筆記：VISUAL COMFORT ASSESSMENT FOR STEREOSCOPIC 3D IMAGES BASED ON SALIENT DISCOMFORT REGIONS
- 2. 閱讀筆記:Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D
- 3. 閱讀筆記：A Visual Comfort Assessment Approach of Stereoscopic Images based on Random Forest Regressor
- 4. 閱讀筆記：Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dict
- 5. 閱讀筆記：Visual comfort evaluated by hue asymmetries in stereoscopic images
- 6. 閱讀筆記：3D Visual Discomfort Predictor: Analysis of Horizontal Disparity and Neural Activity Statistics
- 7. [解讀] Deep Clustering for Unsupervised Learning of Visual Features
- 8. 論文閱讀《Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images》
- 9. Deep Clustering for Unspervised Learning of Visual Features
- 10. 論文閱讀筆記（audio-visual相關）—Co-Separating Sounds of Visual Objects