Computer Science ›› 2023, Vol. 50 ›› Issue (4): 103-109.doi: 10.11896/jsjkx.220100259
• Computer Graphics & Multimedia • Previous Articles Next Articles
LI Yang, HAN Ping
CLC Number:
[1]LONG J,SHELHAMER E,DARRELL T.Fully convolutional networks for semantic segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Boston,USA:IEEE,2015:3431-3440. [2]LIANG X,GONG K,SHEN X,et al.Look into person:Jointbody parsing & pose estimation network and a new benchmark[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2019,41(4):871-885. [3]RUAN T,LIU T,HUANG Z,et al.Devil in the details:To-wards accurate single and multiple human parsing[C]//Proceedings of the AAAI Conference on Artificial Intelligence.Honolulu,USA:AAAI,2019,33(1):4814-4821. [4]LI P,XU Y,WEI Y,et al.Self-correction for human parsing[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2020,44(6):3260-3271. [5]LIU K,CHOI O,WANG J,et al.CDGNet:Class DistributionGuided Network for Human Parsing[J]. arXiv:2111.14173,2021. [6]LIANG X,LIU S,SHEN X,et al.Deep human parsing with active template regression[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,37(12):2402-2414. [7]GONG K,LIANG X,ZHANG D,et al.Look into person:Self-supervised structure-sensitive learning and a new benchmark for human parsing[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,USA:IEEE,2017:932-940. [8]GONG K,LIANG X,LI Y,et al.Instance-level human parsing via part grouping network[C]//Proceedings of the European Conference on Computer Vision(ECCV).Berlin,German:Springer,2018:770-785. [9]YAMAGUCHI K,KIAPOUR M H,ORTIZ L E,et al.Parsing clothing in fashion photographs[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition.Providence USA:IEEE,2012:3570-3577. [10]ZHAO J,LI J,CHENG Y,et al.Understanding humans incrowded scenes:Deep nested adversarial learning and a new benchmark for multi-human parsing[C]//Proceedings of the 26th ACM International Conference on Multimedia.New York,NY:ACM,2018:792-800. [11]CUI Y,JIA M,LIN T Y,et al.Class-balanced loss based on effective number of samples[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Long Beach,USA:IEEE,2019:9268-9277. [12]LIN T Y,GOYAL P,GIRSHICK R,et al.Focal loss for dense object detection[C]//Proceedings of the IEEE International Conference on Computer Vision.Venice,Italy:IEEE,2017:2980-2988. [13]LIU Z,MIAO Z,ZHAN X,et al.Large-scale long-tailed recognition in an open world[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Long Beach,USA:IEEE,2019:2537-2546. [14]WANG J,ZHANG W,ZANG Y,et al.Seesaw loss for long-tailed instance segmentation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Nashville,USA:IEEE,2021:9695-9704. [15]BULÒ S R,NEUHOLD G,KONTSCHIEDER P.Loss max-pooling for semantic image segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,USA:IEEE,2017:2126-2135. [16]ZHOU B,CUI Q,WEI X S,et al.Bbn:Bilateral-branch network with cumulative learning for long-tailed visual recognition[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Seattle,USA:IEEE,2020:9719-9728. [17]KANG B,XIE S,ROHRBACH M,et al.Decoupling representation and classifier for long-tailed recognition[J].arXiv:1910.09217,2019. [18]WEN Y,ZHANG K,LI Z,et al.A discriminative feature lear-ning approach for deep face recognition[C]//European Confe-rence on Computer Vision.Berlin,German:Springer,2016:499-515. [19]RONNEBERGER O,FISCHER P,BROX T.U-net:Convolu-tional networks for biomedical image segmentation[C]//International Conference on Medical Image Computing and Compu-ter-assisted Intervention.Berlin,German:Springer,2015:234-241. [20]ZHAO H,SHI J,QI X,et al.Pyramid scene parsing network[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,USA:IEEE,2017:2881-2890. [21]CHEN L C,PAPANDREOU G,SCHROFF F,et al.Rethinking atrous convolution for semantic image segmentation[J].arXiv:1706.05587,2017. [22]CHEN L C,ZHU Y,PAPANDREOU G,et al.Encoder-decoder with atrous separable convolution for semantic image segmentation[C]//Proceedings of the European Conference on Computer vision(ECCV).Berlin,German:Springer,2018:801-818. [23]FU J,LIU J,TIAN H,et al.Dual attention network for scene segmentation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Long Beach,USA:IEEE,2019:3146-3154. [24]DENG J,DONG W,SOCHER R,et al.Imagenet:A large-scale hierarchical image database[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition.Miami,USA:IEEE,2009:248-255. |
[1] | MA Weiqi, YUAN Jiabin, ZHA Keke, FAN Lili. Onboard Rock Detection Algorithm Based on Spiking Neural Network [J]. Computer Science, 2023, 50(1): 98-104. |
[2] | CHENG Cheng, JIANG Ai-lian. Real-time Semantic Segmentation Method Based on Multi-path Feature Extraction [J]. Computer Science, 2022, 49(7): 120-126. |
[3] | HU Fu-yuan, WAN Xin-jun, SHEN Ming-fei, XU Jiang-lang, YAO Rui, TAO Zhong-ben. Survey Progress on Image Instance Segmentation Methods of Deep Convolutional Neural Network [J]. Computer Science, 2022, 49(5): 10-24. |
[4] | JIN Yu-jie, CHU Xu, WANG Ya-sha, ZHAO Jun-feng. Variational Domain Adaptation Driven Semantic Segmentation of Urban Scenes [J]. Computer Science, 2022, 49(11): 126-133. |
[5] | WANG Shi-yun, YANG Fan. Remote Sensing Image Semantic Segmentation Method Based on U-Net Feature Fusion Optimization Strategy [J]. Computer Science, 2021, 48(8): 162-168. |
[6] | ZHAN Rui, LEI Yin-jie, CHEN Xun-min, YE Shu-han. Street Scene Change Detection Based on Multiple Difference Features Network [J]. Computer Science, 2021, 48(2): 142-147. |
[7] | WANG Xin, ZHANG Hao-yu, LING Cheng. Semantic Segmentation of SAR Remote Sensing Image Based on U-Net Optimization [J]. Computer Science, 2021, 48(11A): 376-381. |
[8] | ZHU Rong, YE Kuan, YANG Bo, XIE Huan, ZHAO Lei. Feature Classification Method Based on Improved DeeplabV3+ [J]. Computer Science, 2021, 48(11A): 382-385. |
[9] | REN Tian-ci, HUANG Xiang-sheng, DING Wei-li, AN Chong-yang and ZHAI Peng-bo. Global Bilateral Segmentation Network for Segmantic Segmentation [J]. Computer Science, 2020, 47(6A): 161-165. |
[10] | ZHOU Peng-cheng,GONG Sheng-rong,ZHONG Shan,BAO Zong-ming,DAI Xing-hua. Image Semantic Segmentation Based on Deep Feature Fusion [J]. Computer Science, 2020, 47(2): 126-134. |
[11] | WANG Sai-nan, ZHENG Xiong-feng. Application and Research of Image Semantic Segmentation Based on Edge Computing [J]. Computer Science, 2020, 47(11A): 276-280. |
[12] | YANG Pei-jian, WU Xiao-fu, ZHANG Suo-fei, ZHOU Quan. Semantic Segmentation Transfer Algorithm Based on Atrous Convolution Discriminator [J]. Computer Science, 2020, 47(11): 174-178. |
[13] | MIAO Yong-wei, LI Gao-yi, BAO Chen, ZHANG Xu-dong, PENG Si-long. Image Localized Style Transfer Based on Convolutional Neural Network [J]. Computer Science, 2019, 46(9): 259-264. |
[14] | WANG Yan-ran, CHEN Qing-liang, WU Jun-jun. Research on Image Semantic Segmentation for Complex Environments [J]. Computer Science, 2019, 46(9): 36-46. |
[15] | ZHANG Li and YU Lei. Who Can Collaborate New Users in Recommendation System? [J]. Computer Science, 2015, 42(Z11): 80-82. |
|