Journal of Optoelectronics · Laser, Volume. 33, Issue 9, 977(2022)
Person re-identification based on multi-granularity feature fusion network
[1] [1] ZHENG Z,ZHENG L,YANG Y.Pedestrian alignment network for large-scale person re-identification[J].IEEE Transactions on Circuits and Systems for Video Technology,2018,29(10):30373045.
[2] [2] SUN Y,ZHENG L,YANG Y,et al.Beyond part models:person retrieval with refined part pooling (and a strong convolutional baseline)[C]//European Conference on Computer Vision (ECCV),September 8-14,2018,Munich,Germany.Berlin:Springer,2018:480-496.
[3] [3] WANG G,YUAN Y,CHEN X,et al.Learning discriminative features with multiple granularities for person re-identification[C]//26th ACM International Conference on Multimedia,October 22-26,2018,Seoul,Korea.New York:ACM,2018:274-282.
[4] [4] SUH Y,WANG J,TANG S,et al.Part-aligned bilin ear representations for person re-identification[C]//European Conference on Computer Vision (ECCV),September 8-14,2018,Munich,Germany.Berlin:Springer,2018:402-419.
[5] [5] HUANG H,YANG W,CHEN X,et al.EANet:enhancing alignment for cross-domain person re-identification[EB/OL].(2018-12-29)[2021-12-29].https://arXiv.org/abs/1812.11369.
[6] [6] WANG G N,YANG S,LIU H Y,et al.High-order information matters:learning relation and topology for occluded person re-identification[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 13-19,2020,Seattle,WA.USA.New York:IEEE,2020:6448-6457.
[7] [7] ZHAO H Y,TIAN M Q,SUN S Y,et al.Spindle net:person re-identification with human body region guided feature decomposition and fusion[C]//IEEE Conference on Co mputer Vision and Pattern Recognition,July 21-26,2017,Honolulu,HI,USA.New York:IEEE,2017:907-915.
[8] [8] WANG G,YUAN Y,LI J,et al.Receptive multi-granularity representation for person re-identification[J].IEEE Transactions on Image Processing,2020,29:6096-6109.
[9] [9] PARK H,HAM B.Relation network for person re-identification[C]//AAAI Conference on Artificial Intelligence,February 7-12,2020,New York,NY,USA.Menlo Park:AAAI,2020:11839-11847.
[10] [10] JADERBERG M,SIMONYAN K,ZISSERMAN A.Spatial transformer networks[C]//Advances in Neural Information Processing Systems (NIPS 2015),December 7-12,Montreal,Canada.New York:Curran Associates,Inc.,2015:2017-2025.
[11] [11] HE K,ZHANG X,REN S,et al.Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition,June 27-30,2016,Las Vegas,NV,USA.New York:IEEE,2016:770-778.
[12] [12] LUO H,GU Y Z,LIAO X Y,et al.Bag of tricks and a strong b aseline for deep person re-identification[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,June 16-17,2019,Long Beach,CA,USA.New York:IEEE,2019:1487-1495.
[13] [13] PENG P,TIAN Y,HUANG Y,et al.Discriminative spatial feature learning for person re-identification[C]//28th ACM International Conference on Multimedia,October 12-16,2020,Seattle,WA,USA.New York:ACM,2020:274-283.
[14] [14] ZHANG Z,SABUNCU M.Generalized cross entropy loss for training deep neural networks with noisy labels[C]//Advances in Neural Information Processing Systems (NIPS 2018),December 3-8,2018,Montreal,Canada.New York:Curran Associates,2018:8792-8802.
[15] [15] HERMANS A,BEYER L,LEIBE B.In defense of the triplet loss for person re-identification[EB/OL].(2017-11-21)[2021-12-29].https://arxiv.org/abs/1703.07737.
[16] [16] ZHENG L,SHEN L,TIAN L,et al.Scalable person re-identification:a benchmark[C]//IEEE International Conference on Computer Vision,December 7-13,2016,Santiago,Chile.New York:IEEE,2015:1116-1124.
[17] [17] ZHENG Z,ZHENG L,YANG Y.Unlabeled samples generated by gan improve the person re-identification baseline in vitro[C]//IEEE International Conference on Computer Vision,July 21-26,2017,Honolulu,HI,USA.New York:IEEE,2017:3754-3762.
[18] [18] JIN X,LAN C L,ZENG W J,et al.Style normalization and restitution for generalizable person re-identification[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition,June 13-19,2020,Seattle,WA.USA.New York:IEEE,2020:3140-3149.
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ZHANG Boxing, ZHANG Shouming, ZHONG Zhengyu. Person re-identification based on multi-granularity feature fusion network[J]. Journal of Optoelectronics · Laser, 2022, 33(9): 977
Received: Dec. 29, 2021
Accepted: --
Published Online: Oct. 9, 2024
The Author Email: ZHANG Shouming (1411834974@qq.com)