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作者:J Long2014被引用次数:24387 — Our fully convolutional network achieves state-of-the-art segmentation of PASCAL VOC (20% relative improvement to 62.2% mean IU on 2012), ...
作者:E Shelhamer2016被引用次数:24387 — Our fully convolutional network achieves improved segmentation of PASCAL VOC (30% relative improvement to 67.2% mean IU on 2012), NYUDv2, ...

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作者:J Long2015被引用次数:24387 — Our fully convolutional network achieves state- of-the-art segmentation of PASCAL VOC (20% relative im- provement to 62.2% mean IU on 2012), NYUDv2, and SIFT.
10 页·2 MB
作者:J Long2015被引用次数:24387 — Our fully convolutional network achieves state-of-the-art segmentation of PASCAL VOC (20% relative improvement to 62.2% mean IU on 2012), NYUDv2, and SIFT Flow, ...
2018年10月5日 — In this story, Fully Convolutional Network (FCN) for Semantic Segmentation is briefly reviewed. Compared with classification and detection ...
作者:E Shelhamer2016被引用次数:24387 — Our fully convolutional network achieves improved segmentation of PASCAL VOC. (30% relative improvement to 67.2% mean IU on 2012), NYUDv2, SIFT Flow, and PASCAL ...
12 页·4 MB
Fully Convolutional Networks, or FCNs, are an architecture used mainly for semantic segmentation. They employ solely locally connected layers, ...
Starting from Fully Convolutional Networks (FCNs) work of Long et al. [30] , most deep learning-based semantic segmentation approaches formulate semantic ...
Fully convolutional network (FCN) are first proposed by Shelhamer et al. [2], transforming convolutional neural networks [53][54][55][56][57] used in the field ...
2020年11月19日 — 3. Semantic Segmentation ... Also known as dense prediction, the goal of a semantic segmentation task is to label each pixel of the input image ...

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