Integrating the surface structures with the reinterpretations of 3-D velocity images, this paper puts forward a kind of multi-oriented and layered structure for those of the upper and mid-lower crust, lithospheric and...Integrating the surface structures with the reinterpretations of 3-D velocity images, this paper puts forward a kind of multi-oriented and layered structure for those of the upper and mid-lower crust, lithospheric and asthenospheric mantle in Tethyan erogenic belt of western Yunnan and Sichuan, China (Sanjiang belt). There exists a detachment between upper and mid-lower crust. The lithospheric mantle is a rigid and competent body unable to be deformed which preserved the older tectonic framework. The asthenosphere is an imcompetent layer that is easy to be deformed, and behaves as an initiation region of deformation, and its structural patterns reflect younger tectonics. The Cenozoic intracontinental magmatism of this region is controlled by: (i) sub-meridional and NNE trending asthenospheric upwelling around the western margin of Yangtze block; (ii) crust-mantle transitional layer formed by underplating of ascending melts; and (iii) intersection or transformation of regional structures such as major faults.展开更多
Scene text detection plays a significant role in various applications,such as object recognition,document management,and visual navigation.The instance segmentation based method has been mostly used in existing resear...Scene text detection plays a significant role in various applications,such as object recognition,document management,and visual navigation.The instance segmentation based method has been mostly used in existing research due to its advantages in dealing with multi-oriented texts.However,a large number of non-text pixels exist in the labels during the model training,leading to text mis-segmentation.In this paper,we propose a novel multi-oriented scene text detection framework,which includes two main modules:character instance segmentation(one instance corresponds to one character),and character flow construction(one character flow corresponds to one word).We use feature pyramid network(FPN)to predict character and non-character instances with arbitrary directions.A joint network of FPN and bidirectional long short-term memory(BLSTM)is developed to explore the context information among isolated characters,which are finally grouped into character flows.Extensive experiments are conducted on ICDAR2013,ICDAR2015,MSRA-TD500 and MLT datasets to demonstrate the effectiveness of our approach.The F-measures are 92.62%,88.02%,83.69%and 77.81%,respectively.展开更多
文摘Integrating the surface structures with the reinterpretations of 3-D velocity images, this paper puts forward a kind of multi-oriented and layered structure for those of the upper and mid-lower crust, lithospheric and asthenospheric mantle in Tethyan erogenic belt of western Yunnan and Sichuan, China (Sanjiang belt). There exists a detachment between upper and mid-lower crust. The lithospheric mantle is a rigid and competent body unable to be deformed which preserved the older tectonic framework. The asthenosphere is an imcompetent layer that is easy to be deformed, and behaves as an initiation region of deformation, and its structural patterns reflect younger tectonics. The Cenozoic intracontinental magmatism of this region is controlled by: (i) sub-meridional and NNE trending asthenospheric upwelling around the western margin of Yangtze block; (ii) crust-mantle transitional layer formed by underplating of ascending melts; and (iii) intersection or transformation of regional structures such as major faults.
基金supported by the National Natural Science Foundation of China under Grant No.61902435the National Science and Technology Major Project of China under Grant No.2018AAA0102102+1 种基金the 111 Project under Grant No.B18059the Hunan Provincial Natural Science Foundation of China under Grant No.2019JJ50808.
文摘Scene text detection plays a significant role in various applications,such as object recognition,document management,and visual navigation.The instance segmentation based method has been mostly used in existing research due to its advantages in dealing with multi-oriented texts.However,a large number of non-text pixels exist in the labels during the model training,leading to text mis-segmentation.In this paper,we propose a novel multi-oriented scene text detection framework,which includes two main modules:character instance segmentation(one instance corresponds to one character),and character flow construction(one character flow corresponds to one word).We use feature pyramid network(FPN)to predict character and non-character instances with arbitrary directions.A joint network of FPN and bidirectional long short-term memory(BLSTM)is developed to explore the context information among isolated characters,which are finally grouped into character flows.Extensive experiments are conducted on ICDAR2013,ICDAR2015,MSRA-TD500 and MLT datasets to demonstrate the effectiveness of our approach.The F-measures are 92.62%,88.02%,83.69%and 77.81%,respectively.
