20190220神经网络模型
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20190220神经网络模型 - 百度云网盘资源 - 大力盘搜索
|- 9-DS(DeepSaliency Multi-task deep neural network model for salient object detection) - 0 B
|- 8-DISC(DISC Deep image saliency computing via progressive representation learning) - 0 B
|- 7-RFCN(Saliency detection with recurrent fully convolutional networks) - 0 B
|- 6-DHS(DHSNet Deep Hierarchical Saliency Network for Salient Object Detection) - 0 B
|- 5-ELD(Deep Saliency with Encoded Low level Distance Map and High Level Features) - 0 B
|- 4-DCL(Deep Contrast Learning for Salient Object Detection) - 0 B
|- 3-MDF(Visual Saliency Based on Multiscale Deep Features) - 0 B
|- 2-MCDL(Saliency detection by multi-context deep learning) - 0 B
|- 15-MSR(Instance-Level Salient Object Segmentation) - 0 B
|- 14-UCF(Learning Uncertain Convolutional Features for Accurate Saliency Detection) - 0 B
|- 13-AMULET(Amulet Aggregating multi-level convolutional features for salient object detection) - 0 B
|- 12-NLDF(Non-local deep features for salient object detection) - 0 B
|- 11-DSS(Deeply supervised salient object detection with short connections) - 0 B
|- 10-IMC(Deep Salient Object Detection by Integrating Multi-level Cues) - 0 B
|- 1-LEGS(Deep networks for saliency detection via local estimation and global search) - 0 B