Occluded Video Instance Segmentation with Set Prediction Approach

被引：0

作者：

Bae, Heechul ^{[1
]}

Song, Soonyong ^{[1
]}

Park, Junhee ^{[1
]}

机构：

[1] Elect & Telecommun Res Inst ETRI, Ind & IoT Intelligence Res Dept, Daejeon, South Korea

来源：

2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021) | 2021年

关键词：

D O I：

10.1109/ICCVW54120.2021.00429

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Occluded Video Instance Segmentation (OVIS) is a multi-task problem performing detection, segmentation, and tracking simultaneously under severe occlusions. We propose an extended model for the OVIS task based on the real-time one-stage instance segmentation method. The proposed model was applied to the OVIS dataset hold by the ICCV 2021 - Occluded Video Instance Segmentation Workshop 2021. We also show that the occlusions can be handled efficiently through one-stage approaches.

引用

页码：3843 / 3846

页数：4

共 50 条

[31] VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
Wang, Xudong
Misra, Ishan
Zeng, Ziyun
Girdhar, Rohit
Darrell, Trevor
2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 22755 - 22764
[32] Instance Embedding Transfer to Unsupervised Video Object Segmentation
Li, Siyang
Seybold, Bryan
Vorobyov, Alexey
Fathi, Alireza
Huang, Qin
Kuo, C. -C. Jay
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 6526 - 6535
[33] Towards Open-Vocabulary Video Instance Segmentation
Wang, Haochen
Yan, Cilin
Wang, Shuai
Jiang, Xiaolong
Tang, Xu
Hu, Yao
Xie, Weidi
Gavves, Efstratios
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, 2023, : 4034 - 4043
[34] Crossover Learning for Fast Online Video Instance Segmentation
Yang, Shusheng
Fang, Yuxin
Wang, Xinggang
Li, Yu
Fang, Chen
Shan, Ying
Feng, Bin
Liu, Wenyu
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 8023 - 8032
[35] CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
Fu, Yang
Yang, Linjie
Liu, Ding
Huang, Thomas S.
Shi, Humphrey
THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 1361 - 1369
[36] Video Instance Segmentation with a Propose-Reduce Paradigm
Lin, Huaijia
Wu, Ruizheng
Liu, Shu
Lu, Jiangbo
Jia, Jiaya
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 1719 - 1728
[37] LIP: Learning Instance Propagation for Video Object Segmentation
Lyu, Ye
Vosselman, George
Xia, Gui-Song
Yang, Michael Ying
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2019, : 2739 - 2748
[38] Joint Future Semantic and Instance Segmentation Prediction
Couprie, Camille
Luc, Pauline
Verbeek, Jakob
COMPUTER VISION - ECCV 2018 WORKSHOPS, PT III, 2019, 11131 : 154 - 168
[39] CTVIS: Consistent Training for Online Video Instance Segmentation
Ying, Kaining
Zhong, Qing
Mao, Weian
Wang, Zhenhua
Chen, Hao
Wu, Lin Yuanbo
Liu, Yifan
Fan, Chengxiang
Zhuge, Yunzhi
Shen, Chunhua
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, 2023, : 899 - 908
[40] Recurrent Graph Neural Networks for Video Instance Segmentation
Emil Brissman
Joakim Johnander
Martin Danelljan
Michael Felsberg
International Journal of Computer Vision, 2023, 131 : 471 - 495

← 1 2 3 4 5 →