The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient...The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient times.The ancient Luo Yue stone inscription1 is a popular ancient script from four to six thousand years ago,and 17,496 characters have been found,which is the earliest script found on the Chinese land so far.A comparative study of Chinese zodiac characters2 between the ancient Luo Yue stone inscriptions and the oracle bone through paleographic conformation reveals that the two characters have the same and similar characteristics.Therefore,this paper intends to further investigate the kinship between the two,and to conduct a preliminary exploration of the origin,development,and evolution of the zodiac by combining recent human archaeological data,emerging molecular anthropological data,historical literature,and data from the Chinese Civilization Exploration Project,in an attempt to show the integration and dependence of Chinese civilization,the pluralistic pattern of Chinese culture,and the Chinese nation for thousands of years.展开更多
The detection of Oracle Bone Inscriptions (OBIs) is one of the most fundamental tasks in the study of Oracle Bone, which aims to locate the positions of OBIs on rubbing images. The existing methods are based on the sc...The detection of Oracle Bone Inscriptions (OBIs) is one of the most fundamental tasks in the study of Oracle Bone, which aims to locate the positions of OBIs on rubbing images. The existing methods are based on the scheme of anchor boxes, involving complex network design and a great number of anchor boxes. In order to overcome the problem, this paper proposes a simpler but more effective OBIs detector by using an anchor-free scheme, where shape-adaptive Gaussian kernels are employed to represent the spatial regions of different OBIs. More specifically, to address the problem of misdetection caused by regional overlapping between some tightly distributed OBIs, the character regions are simultaneously represented by multiscale Gaussian kernels to obtain regions with sharp edges. Besides, based on the kernel predictions of different scales, a novel post-processing pipeline is used to obtain accurate predictions of bounding boxes. Experiments show that our OBIs detector has achieved significant results on the OBIs dataset, which greatly outperforms several mainstream object detectors in both speed and efficiency. Dataset is available at http://jgw.aynu.edu.cn.展开更多
文摘The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient times.The ancient Luo Yue stone inscription1 is a popular ancient script from four to six thousand years ago,and 17,496 characters have been found,which is the earliest script found on the Chinese land so far.A comparative study of Chinese zodiac characters2 between the ancient Luo Yue stone inscriptions and the oracle bone through paleographic conformation reveals that the two characters have the same and similar characteristics.Therefore,this paper intends to further investigate the kinship between the two,and to conduct a preliminary exploration of the origin,development,and evolution of the zodiac by combining recent human archaeological data,emerging molecular anthropological data,historical literature,and data from the Chinese Civilization Exploration Project,in an attempt to show the integration and dependence of Chinese civilization,the pluralistic pattern of Chinese culture,and the Chinese nation for thousands of years.
文摘The detection of Oracle Bone Inscriptions (OBIs) is one of the most fundamental tasks in the study of Oracle Bone, which aims to locate the positions of OBIs on rubbing images. The existing methods are based on the scheme of anchor boxes, involving complex network design and a great number of anchor boxes. In order to overcome the problem, this paper proposes a simpler but more effective OBIs detector by using an anchor-free scheme, where shape-adaptive Gaussian kernels are employed to represent the spatial regions of different OBIs. More specifically, to address the problem of misdetection caused by regional overlapping between some tightly distributed OBIs, the character regions are simultaneously represented by multiscale Gaussian kernels to obtain regions with sharp edges. Besides, based on the kernel predictions of different scales, a novel post-processing pipeline is used to obtain accurate predictions of bounding boxes. Experiments show that our OBIs detector has achieved significant results on the OBIs dataset, which greatly outperforms several mainstream object detectors in both speed and efficiency. Dataset is available at http://jgw.aynu.edu.cn.
