Ensembled Tricks for Instance Segmentation

被引：0

作者：

Zhang, Runze ^{[1
]}

Jin, Liang ^{[1
]}

Chen, Yongfang ^{[1
]}

Guo, Zhenhua ^{[1
]}

Zhao, Kun ^{[2
]}

Zhao, Yaqian ^{[1
]}

机构：

[1] Inspur Elect Informat Ind Co Ltd, State Key Lab High End Server & Storage Technol, Jinan, Peoples R China

[2] Guangdong Inspur Big Data Res Co Ltd, Guangzhou, Peoples R China

来源：

2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC | 2020年

关键词：

instance segmentation; ensembled tricks; deep learning;

D O I：

10.1109/IWCMC48107.2020.9148439

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Computer Vision has attracted more and more attention with the fast development of deep learning. The instance segmentation area, which extends the Object detection, can better help us comprehend the surrounding environments. In this paper, we ensembled the tricks that can strengthen the model performance for instance segmentation. We do the ablation experiments for the MS-COCO datasets and LVIS datasets. The results demonstrate that the selected tricks can greatly boost the performance. With our tricks, our model achieves the 7th on the LVIS Challenge Track for ICCV 2019 workshop.

引用

页码：1418 / 1421

页数：4

共 18 条

[1] GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Cao, Yue
Xu, Jiarui
Lin, Stephen
Wei, Fangyun
Hu, Han
[J]. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2019, : 1971 - 1980
[2] Dai JF, 2016, ADV NEUR IN, V29
[3] Deformable Convolutional Networks
Dai, Jifeng
Qi, Haozhi
Xiong, Yuwen
Li, Yi
Zhang, Guodong
Hu, Han
Wei, Yichen
[J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, : 764 - 773
[4] LVIS: A Dataset for Large Vocabulary Instance Segmentation
Gupta, Agrim
Dollar, Piotr
Girshick, Ross
[J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 5351 - 5359
[5] He KM, 2017, IEEE I CONF COMP VIS, P2980, DOI [10.1109/TPAMI.2018.2844175, 10.1109/ICCV.2017.322]
[6] Deep Residual Learning for Image Recognition
He, Kaiming
Zhang, Xiangyu
Ren, Shaoqing
Sun, Jian
[J]. 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 770 - 778
[7] Hu J, 2018, PROC CVPR IEEE, P7132, DOI [10.1109/CVPR.2018.00745, 10.1109/TPAMI.2019.2913372]
[8] Mask Scoring R-CNN
Huang, Zhaojin
Huang, Lichao
Gong, Yongchao
Huang, Chang
Wang, Xinggang
[J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 6402 - 6411
[9] Acquisition of Localization Confidence for Accurate Object Detection
Jiang, Borui
Luo, Ruixuan
Mao, Jiayuan
Xiao, Tete
Jiang, Yuning
[J]. COMPUTER VISION - ECCV 2018, PT XIV, 2018, 11218 : 816 - 832
[10] ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, Alex
Sutskever, Ilya
Hinton, Geoffrey E.
[J]. COMMUNICATIONS OF THE ACM, 2017, 60 (06) : 84 - 90

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