Detecting Oriented Text in Natural Images by Linking Segments
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Cites background from "Detecting Oriented Text in Natural ..."
...While such methods still have difficulty in dealing with aerial image based object detection: one reason is that most text detection methods are restricted to single-category object detection [44, 34, 7], while there are often many different categories to discern for remote sensing....
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501 citations
Cites methods from "Detecting Oriented Text in Natural ..."
...For the regression-based approaches [36, 43, 32, 16, 42, 23, 11, 13, 27], the text targets are usually represented in the forms of rectangles or quadrangles with certain orientations....
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...In addition, we Method Ext Total-Text P R F FPS SegLink [32] - 30....
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References
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"Detecting Oriented Text in Natural ..." refers methods in this paper
...Data Augmentation We adopt an online augmentation pipeline that is similar to that of SSD [14] and YOLO [18]....
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"Detecting Oriented Text in Natural ..." refers background or methods in this paper
...We detect segments by estimating the confidence scores and geometric offsets to a set of default boxes [14] on the input image....
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...The architecture of our network inherits that of SSD [14], a recent object detection model....
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...Following [14], the fully-connected layers of VGG-16 are converted into convolutional layers (fc6 to conv6; fc7 to conv7)....
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...An (fast/faster) R-CNN [5, 4, 19]or SSD [14]-style detector may suffer from the difficulty of producing such boxes, owing to its proposal or anchor box design....
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...Data Augmentation We adopt an online augmentation pipeline that is similar to that of SSD [14] and YOLO [18]....
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