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- W4313892562 abstract "We explore a method to extract the rotated angle of an object from the aerial image extracted from DOTA Dataset. The recently proposed methods of Object Detection are in forms of fine regression after find most appropriate box from set anchor boxes of various angles. These models showed excellent detection performances about rotated object in aerial image. However, Those are a lot of added calculations for rotated anchor boxes. In order to approach this problem in a different way than the rotated anchor box. We analyse a different type of model that directly estimate the angle of an object like Image Tilt correction. Directly applying this method also have a own problem, which occurs in angle detection in aerial image. we modify the method that using logical operation for angle loss to separate Direction from angle and improve the model performance in Angular Error Accuracy by section. All experiment in this paper using resnet50 based model and ablation studies on model depth were conducted." @default.
- W4313892562 created "2023-01-10" @default.
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- W4313892562 date "2022-11-27" @default.
- W4313892562 modified "2023-09-24" @default.
- W4313892562 title "Analyzing Angle detection in aerial image" @default.
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- W4313892562 doi "https://doi.org/10.23919/iccas55662.2022.10003766" @default.
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