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Multi-context atten-tion for human pose estimation[C]\/\/2017 IEEE conference on computer vision and pattern recognition . CHU X,YANG W,OUYANG W, (2017). Multi-context atten-tion for human pose estimation[C]\/\/2017 IEEE conference on computer vision and pattern recognition."},{"key":"e_1_3_2_1_12_1","first-page":"1435","volume-title":"Control and Computing Tech-nologies","author":"GOVARDHAN P","year":"2014","unstructured":"GOVARDHAN P , PATI U C ( 2014 ). NIR image based pedestrian detection in night vision with cascade classification and validati-on[C]\/\/Proceedings of the IEEE International Conference on Advanced Communications , Control and Computing Tech-nologies , Ramanathapuram, India , May 8-10, 2014. Piscataway: IEEE, 1435 - 1438 . GOVARDHAN P, PATI U C (2014). NIR image based pedestrian detection in night vision with cascade classification and validati-on[C]\/\/Proceedings of the IEEE International Conference on Advanced Communications, Control and Computing Tech-nologies, Ramanathapuram, India, May 8-10, 2014. Piscataway: IEEE, 1435-1438."},{"key":"e_1_3_2_1_13_1","volume-title":"Spatial transformer networks[EB\/OL].(2016-02-04)[2021-05-13]. https:\/\/arxiv.org\/abs\/1506.02025v3","author":"JADERBERG M","year":"2016","unstructured":"JADERBERG M , SIMONYAN K , ZISSERMAN A , ( 2016 ). Spatial transformer networks[EB\/OL].(2016-02-04)[2021-05-13]. https:\/\/arxiv.org\/abs\/1506.02025v3 JADERBERG M, SIMONYAN K, ZISSERMAN A, (2016). Spatial transformer networks[EB\/OL].(2016-02-04)[2021-05-13]. https:\/\/arxiv.org\/abs\/1506.02025v3"},{"key":"e_1_3_2_1_14_1","volume-title":"Image Net: a large-scale hierarchical image database[C]\/\/2009 IEEE Confer-ence on Computer Vision and Pattern Recognition. 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Small and Dense Commodity Object Detection with Multi-Scale Receptive Field Attention[C]\/\/Proceedings of the 27th ACM International Conference on Multimedia. October, 2019. 1349-1357."},{"key":"e_1_3_2_1_16_1","volume-title":"DSSD : deconvoluti-onal single shot detector[EB\/OL].(2017-01-23)[2021-05-13]. https:\/\/arxiv.org\/abs\/1701.06659","author":"FU C-Y","year":"2017","unstructured":"FU C-Y , LIU W , RANGA A , ( 2017 ). DSSD : deconvoluti-onal single shot detector[EB\/OL].(2017-01-23)[2021-05-13]. https:\/\/arxiv.org\/abs\/1701.06659 . FU C-Y, LIU W, RANGA A, (2017). 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