https://reversetranscriptas.co....m/index.php/smartpho
To have complets that are extremely descriptive to image compositions, a weakly supervised complet ranking algorithm was created by quantifying the grade of each complet. The algorithm effortlessly encodes three aspects the image-level quality discrimination, weakly supervised constraint, and complet geometry of each image. On the basis of the top-ranking complets, a novel multi-column convolutional neural system (CNN) called SDA-Net was created, which supports input
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