Zou Q, Zhang Z, Li Q, Qi X, Wang Q and Wang S, DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection, IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1498-1512, 2019. [PDF] Abstract: Cracks are typical line structures that are of interest in many ...
YetCrossEntropyLossover one-hot labels will bring a uniform metric distance between any angles (e.g.$\mathrm{dist}(1°, 2°) = \mathrm{dist}(1°, 180°)$), clearly defies our common sense.Arbitrary-Oriented Object Detection with Circular Smooth Label (ECCV'20)introduces an interesting tri...
Codes, data and networks relevant to the herein study can be found in the GitHub repository: github.com/dimitrisdais/crack_detection_CNN_masonry. 2. Related work 2.1. Convolutional neural networks for crack detection Image classification with CNN can be categorized into three types: image patch ...
2.1.1. CNN-based crack segmentation The current approaches to semantic segmentation for crack detection predominantly rely on FSL techniques. Over the past few years, FSL-based crack segmentation adopting CNN architectures has seen significant advancements. Dung and Anh [2] employ a fully convolutional...
Cracks in the road surface can cause significant harm. Road crack detection, segmentation, and immediate repair can help reduce the occurrence of risks. So
They trained a deep CNN based on supervised learning, proving the feasibility of combining deep learning with pavement crack recognition. In 2017, Zhao et al. [19] proposed a pavement crack detection method based on a CNN using images of different scales and taken at different angles for ...
Crack information such as the crack angle and crack tip position can be detected automatically using the Crack Detection module based on trained convolutional neural networks43,44 or set manually (e.g. in case of simulations, where the crack information is known a-priori). The network ...
git clone https://github.com/lumina37/rotate-captcha-crack.git --depth 1 cd ./rotate-captcha-crack Install all requiring dependencies. This project strongly suggest you to useuvfor package management. Run the following commands if you already haveuv: ...
opencv(定位滑动缺口距离) pyppeteer YOLO3: 定位汉字位置 CRNN: 校验文字识别 CNN: 定位后的文字识别 4000+汉字 校验文字样本约50K YOLO3样本3.6K 定位后的文字样本140K Releases No releases published Packages No packages published Languages Python100.0%...
YetCrossEntropyLosswith one-hot labels will bring a uniform metric distance between all angles (e.g.dist(1°,2°)=dist(1°,180°)), clearly defies the common sense.Arbitrary-Oriented Object Detection with Circular Smooth Label (ECCV'20)introduces an interesting trick, by smoothing the one-ho...