Human pose estimation aims to localize the body joints from image or video data.With the development of deeplearning,pose estimation has become a hot research topic in the field of computer vision.In recent years,huma...Human pose estimation aims to localize the body joints from image or video data.With the development of deeplearning,pose estimation has become a hot research topic in the field of computer vision.In recent years,humanpose estimation has achieved great success in multiple fields such as animation and sports.However,to obtainaccurate positioning results,existing methods may suffer from large model sizes,a high number of parameters,and increased complexity,leading to high computing costs.In this paper,we propose a new lightweight featureencoder to construct a high-resolution network that reduces the number of parameters and lowers the computingcost.We also introduced a semantic enhancement module that improves global feature extraction and networkperformance by combining channel and spatial dimensions.Furthermore,we propose a dense connected spatialpyramid pooling module to compensate for the decrease in image resolution and information loss in the network.Finally,ourmethod effectively reduces the number of parameters and complexitywhile ensuring high performance.Extensive experiments show that our method achieves a competitive performance while dramatically reducing thenumber of parameters,and operational complexity.Specifically,our method can obtain 89.9%AP score on MPIIVAL,while the number of parameters and the complexity of operations were reduced by 41%and 36%,respectively.展开更多
This study was conducted to explore the effects of polycyclic aromatic hydrocarbons (PAHs) on the growth and physiological characteristics of vegetable seedlings.Cucumber,Chinese cabbage and radish were cultured under...This study was conducted to explore the effects of polycyclic aromatic hydrocarbons (PAHs) on the growth and physiological characteristics of vegetable seedlings.Cucumber,Chinese cabbage and radish were cultured under the stress of 16 PAHs at different concentrations of 0.3,0.6 and 0.9 mg/L,respectively,with the seedlings cultured without PAHs as the control,to study the growth and physiological responses of various vegetable seedlings under PAHs stress.The results showed that the leaf width,fresh weight,CAT activity and POD activity of cucumber and the chlorophyll b content and CAT activity of radish reached the minimum values when treated with 0.3 mg/L PAHs.When the treatment concentration was 0.6 mg/L,the POD activity of cucumber,the vitamin C content of Chinese cabbage and the MDA content of radish were the smallest.The dry weight of cucumber,the fresh weight of Chinese cabbage and the fresh weight and POD activity of radish reached the minimums under the treatment of 0.9 mg/L PAHs.Different concentrations of PAHs could promote the synthesis and photosynthesis of chlorophyll in cucumber and Chinese cabbage leaves and the vitamin C content in radish.With the increase of PAHs treatment concentration,the MDA contents of cucumber and Chinese cabbage were on the increase,and reached the maximums under the treatment of 0.9 mg/L PAHs.One of the reasons why different kinds of vegetable seedlings have different physiological responses to PAHs may be related to the differences in the amount of PAHs absorbed by different leaf structures.展开更多
基金the National Natural Science Foundation of China(Grant Number 62076246).
文摘Human pose estimation aims to localize the body joints from image or video data.With the development of deeplearning,pose estimation has become a hot research topic in the field of computer vision.In recent years,humanpose estimation has achieved great success in multiple fields such as animation and sports.However,to obtainaccurate positioning results,existing methods may suffer from large model sizes,a high number of parameters,and increased complexity,leading to high computing costs.In this paper,we propose a new lightweight featureencoder to construct a high-resolution network that reduces the number of parameters and lowers the computingcost.We also introduced a semantic enhancement module that improves global feature extraction and networkperformance by combining channel and spatial dimensions.Furthermore,we propose a dense connected spatialpyramid pooling module to compensate for the decrease in image resolution and information loss in the network.Finally,ourmethod effectively reduces the number of parameters and complexitywhile ensuring high performance.Extensive experiments show that our method achieves a competitive performance while dramatically reducing thenumber of parameters,and operational complexity.Specifically,our method can obtain 89.9%AP score on MPIIVAL,while the number of parameters and the complexity of operations were reduced by 41%and 36%,respectively.
基金Supported by National Natural Science Foundation of China(31360479)National Modern Agriculture Technology System of Guangxi in Special Vegetable Innovation Team(nycytxgxcxtd-10-03)Natural Science Foundation of Guangxi Province(2014GXNSFAA118100)
文摘This study was conducted to explore the effects of polycyclic aromatic hydrocarbons (PAHs) on the growth and physiological characteristics of vegetable seedlings.Cucumber,Chinese cabbage and radish were cultured under the stress of 16 PAHs at different concentrations of 0.3,0.6 and 0.9 mg/L,respectively,with the seedlings cultured without PAHs as the control,to study the growth and physiological responses of various vegetable seedlings under PAHs stress.The results showed that the leaf width,fresh weight,CAT activity and POD activity of cucumber and the chlorophyll b content and CAT activity of radish reached the minimum values when treated with 0.3 mg/L PAHs.When the treatment concentration was 0.6 mg/L,the POD activity of cucumber,the vitamin C content of Chinese cabbage and the MDA content of radish were the smallest.The dry weight of cucumber,the fresh weight of Chinese cabbage and the fresh weight and POD activity of radish reached the minimums under the treatment of 0.9 mg/L PAHs.Different concentrations of PAHs could promote the synthesis and photosynthesis of chlorophyll in cucumber and Chinese cabbage leaves and the vitamin C content in radish.With the increase of PAHs treatment concentration,the MDA contents of cucumber and Chinese cabbage were on the increase,and reached the maximums under the treatment of 0.9 mg/L PAHs.One of the reasons why different kinds of vegetable seedlings have different physiological responses to PAHs may be related to the differences in the amount of PAHs absorbed by different leaf structures.
