人工智能
目标检测
计算机视觉
对象(语法)
计算机科学
航空影像
方向(向量空间)
比例(比率)
像素
遥感
图像(数学)
模式识别(心理学)
地理
地图学
数学
几何学
出处
期刊:Cornell University - arXiv
日期:2017-11-28
被引量:138
标识
DOI:10.48550/arxiv.1711.10398
摘要
Example datasets of the Interactive Feature Localization in Deep neural networks (IFeaLiD) tool. Cityscapes These datasets are based on the image bielefeld_000000_007186_leftImg8bit.png of the Cityscapes dataset. The datasets can be explored online in IFeaLiD: conv2_x (bielefeld_000000_007186_leftImg8bit.png.C1.npz.8.zip) conv3_x (bielefeld_000000_007186_leftImg8bit.png.C2.npz.8.zip) conv4_x (bielefeld_000000_007186_leftImg8bit.png.C3.npz.8.zip) COCO These datasets are based on the image 000000015746.jpg of the COCO dataset. The datasets can be explored online in IFeaLiD: conv2_x (000000015746.jpg.C1.npz.8.zip) conv3_x (000000015746.jpg.C2.npz.8.zip) conv4_x (000000015746.jpg.C3.npz.8.zip) DIV2K These datasets are based on the image 0804.png of the DIV2K dataset. The datasets can be explored online in IFeaLiD: conv2_x (0804.png.C1.npz.8.zip) conv3_x (0804.png.C2.npz.8.zip) conv4_x (0804.png.C3.npz.8.zip) DOTA These datasets are based on the image P0034.png of the DOTA dataset. The datasets can be explored online in IFeaLiD: conv2_x (P0034.png.C1.npz.8.zip) conv3_x (P0034.png.C2.npz.8.zip) conv4_x (P0034.png.C3.npz.8.zip)
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