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閱讀筆記:VISUALCOMFORTASSESSMENTOFSTEREOSCOPICIMAGES USINGDEEPVISUALANDDISPARITYFEATURESBAS
時間 2021-01-04
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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.
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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<<