2021101-opencv缺失文件.zip
opencv安装确实boot,vgg文件
ABCNet - Real-time Scene Text Spotting with Adaptive Bezier-curve Network.mp4
Recent researches show that machine learning models are vulnerable to adversarial attacks Szegedy et al. (2014); Goodfellow, Shlens, and Szegedy (2015). Slightly modifications on input data can fool a state-of-the-art classifier. The adversarial brittleness restricts applications of machine learning m
Single image super-resolution (SR) aims at recovering a high-resolution (HR) image fromagivenlow-resolution(LR)one.RecentSRalgorithmsaremostlylearning-based (or patch-based) methods [1,2,3,4,5,6,7,8] that learn a mapping between the LR and HR image spaces.
Recently,naturalscenetextdetectionhasattractedextensiveattentionforitsnumerousapplications, suchassceneunderstanding,productidentification,automaticdrivingandtargetgeolocation. However, due to the large variations in foreground texts and background objects, and the diverse text variabilities in shape
Convolutional neural networks (CNNs) have achieved state-of-the-art results on real-world applications such as image classification [He et al., 2016] and object detection [Ren et al., 2015], with the best results obtained with large models and sufficient computation resources. Concurrent to these prog
In recent years, the community has witnessed a surge of research interest and effort regarding the extraction of textual information from natural scenes, a.k.a. scene text detection and recognition. The driving factors stem from both application prospect and research value. On the one hand, scene tex
一种对弯曲字符检测的方法,基于bezier曲线实现对弯曲字符检测定位,再利用bezier采样将图像拉平进行识别
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