19.3.4.3 Motion Segmentation, Neural Networks, Learning

Chapter Contents (Back)
Motion Segmentation. Neural Networks. Learning.
See also Video Instance Segmentation.

Li, X.D.[Xu-Dong], Ye, M.[Mao], Liu, Y.G.[Yi-Guang], Zhang, F.[Feng], Liu, D.[Dan], Tang, S.[Song],
Accurate object detection using memory-based models in surveillance scenes,
PR(67), No. 1, 2017, pp. 73-84.
Elsevier DOI 1704
Convolutional neural network BibRef

Cheng, K.W.[Kai-Wen], Chen, Y.T.[Yie-Tarng], Fang, W.H.[Wen-Hsien],
Improved Object Detection With Iterative Localization Refinement in Convolutional Neural Networks,
CirSysVideo(28), No. 9, September 2018, pp. 2261-2275.
IEEE DOI 1809
BibRef
Earlier:
Iterative localization refinement in convolutional neural networks for improved object detection,
ICIP16(3643-3647)
IEEE DOI 1610
Proposals, Object detection, Feature extraction, Detectors, Neural networks, Search problems, Iterative methods, localization refinement. Iterative methods BibRef

Yin, H.[Hui], Yang, L.[Lin], Xu, H.L.[Hong-Li], Wan, J.[Jin],
Adaptive convolutional neural network for large change in video object segmentation,
IET-CV(13), No. 5, August 2019, pp. 452-460.
DOI Link 1908
BibRef

Chen, Y.Y.[Ying-Ying], Wang, J.Q.[Jin-Qiao], Zhu, B.[Bingke], Tang, M.[Ming], Lu, H.Q.[Han-Qing],
Pixelwise Deep Sequence Learning for Moving Object Detection,
CirSysVideo(29), No. 9, September 2019, pp. 2567-2579.
IEEE DOI 1909
Semantics, Feature extraction, Object detection, Cameras, Image color analysis, Lighting, Moving object detection, convolutional neural networks BibRef

Zhou, T.F.[Tian-Fei], Li, J.W.[Jian-Wu], Wang, S.Z.[Shun-Zhou], Tao, R.[Ran], Shen, J.B.[Jian-Bing],
MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object Segmentation,
IP(29), 2020, pp. 8326-8338.
IEEE DOI 2008
Object segmentation, Spatiotemporal phenomena, Visualization, Motion segmentation, Decoding, Task analysis, Machine learning, dynamic visual attention prediction BibRef

Lu, X.K.[Xian-Kai], Wang, W.G.[Wen-Guan], Shen, J.B.[Jian-Bing], Crandall, D.[David], Luo, J.B.[Jie-Bo],
Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks,
PAMI(44), No. 4, April 2022, pp. 2228-2242.
IEEE DOI 2203
BibRef
Earlier: A2, A1, A3, A4, A5:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks,
ICCV19(9235-9244)
IEEE DOI 2004
Task analysis, Correlation, Object segmentation, Motion segmentation, Computational modeling, Visualization, siamese network. graph theory, image segmentation, image sequences, learning (artificial intelligence), message passing, neural nets, Image segmentation BibRef

Wang, W.G.[Wen-Guan], Song, H.M.[Hong-Mei], Zhao, S.Y.[Shu-Yang], Shen, J.B.[Jian-Bing], Zhao, S.Y.[San-Yuan], Hoi, S.C.H.[Steven C. H.], Ling, H.B.[Hai-Bin],
Learning Unsupervised Video Object Segmentation Through Visual Attention,
CVPR19(3059-3069).
IEEE DOI 2002
BibRef

Wang, W.G.[Wen-Guan], Shen, J.B.[Jian-Bing], Porikli, F.M.[Fatih M.], Yang, R.G.[Rui-Gang],
Semi-Supervised Video Object Segmentation with Super-Trajectories,
PAMI(41), No. 4, April 2019, pp. 985-998.
IEEE DOI 1903
Trajectory, Motion segmentation, Spatiotemporal phenomena, Machine learning, Task analysis, Tracking, density peaks clustering BibRef

Lu, X.K.[Xian-Kai], Wang, W.G.[Wen-Guan], Danelljan, M.[Martin], Zhou, T.F.[Tian-Fei], Shen, J.B.[Jian-Bing], Van Gool, L.J.[Luc J.],
Video Object Segmentation with Episodic Graph Memory Networks,
ECCV20(III:661-679).
Springer DOI 2012
BibRef

Lu, X.K.[Xian-Kai], Wang, W.G.[Wen-Guan], Ma, C.[Chao], Shen, J.B.[Jian-Bing], Shao, L.[Ling], Porikli, F.M.[Fatih M.],
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks,
CVPR19(3618-3627).
IEEE DOI 2002
BibRef

Yan, X.[Xiyu], Gong, H.H.[Hui-Hui], Jiang, Y.[Yong], Xia, S.T.[Shu-Tao], Zheng, F.[Feng], You, X.G.[Xin-Ge], Shao, L.[Ling],
Video scene parsing: An overview of deep learning methods and datasets,
CVIU(201), 2020, pp. 103077.
Elsevier DOI 2011
Video Scene Parsing, Deep Learning, overview3 BibRef


Zhao, Y.X.[Yu-Xiang], Shafique, K.[Khurram], Rasheed, Z.[Zeeshan], Li, M.X.[Mao-Xu],
JanusNet: Detection of Moving Objects from UAV Platforms,
WAAMI21(3892-3901)
IEEE DOI 2112
Deep learning, Image segmentation, Limiting, Computational modeling, Cameras, Feature extraction, tracking BibRef

Liu, Y.F.[Yi-Fan], Shen, C.H.[Chun-Hua], Yu, C.Q.[Chang-Qian], Wang, J.D.[Jing-Dong],
Efficient Semantic Video Segmentation with Per-frame Inference,
ECCV20(X:352-368).
Springer DOI 2011
BibRef

Paul, M., Mayer, C., Van Gool, L.J., Timofte, R.,
Efficient Video Semantic Segmentation with Labels Propagation and Refinement,
WACV20(2862-2871)
IEEE DOI 2006
Semantics, Image segmentation, Optical imaging, Pipelines, Integrated optics, Graphics processing units, Streaming media, Refinement BibRef

Hu, P., Liu, J., Wang, G., Ablavsky, V., Saenko, K., Sclaroff, S.,
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation,
WACV20(1893-1902)
IEEE DOI 2006
Robustness, Semantics, Image segmentation, Encoding, Task analysis, Adaptation models, Feature extraction BibRef

Xu, K.[Kai], Wen, L.Y.[Long-Yin], Li, G.R.[Guo-Rong], Bo, L.F.[Lie-Feng], Huang, Q.M.[Qing-Ming],
Spatiotemporal CNN for Video Object Segmentation,
CVPR19(1379-1388).
IEEE DOI 2002
BibRef

Wang, S., Group, A., Lu, H., Deng, Z.,
Fast Object Detection in Compressed Video,
ICCV19(7103-7112)
IEEE DOI 2004
convolutional neural nets, data compression, feature extraction, image motion analysis, learning (artificial intelligence), Machine learning BibRef

Lao, D., Sundaramoorthi, G.,
Minimum Delay Object Detection From Video,
ICCV19(5096-5105)
IEEE DOI 2004
BibRef
Earlier:
Minimum Delay Moving Object Detection,
CVPR17(4809-4818)
IEEE DOI 1711
convolutional neural nets, object detection, video signal processing, online fashion, real-time solution, Object detection. Cameras, Delays, Estimation, Motion segmentation, Reliability BibRef

Zeng, X., Liao, R., Gu, L., Xiong, Y., Fidler, S., Urtasun, R.,
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation,
ICCV19(3928-3937)
IEEE DOI 2004
convolutional neural nets, gradient methods, image matching, image segmentation, learning (artificial intelligence), Task analysis BibRef

Wang, Z.Q.[Zi-Qin], Xu, J.[Jun], Liu, L.[Li], Zhu, F.[Fan], Shao, L.[Ling],
RANet: Ranking Attention Network for Fast Video Object Segmentation,
ICCV19(3977-3986)
IEEE DOI 2004
Code, Video Object Segmentatioin.
WWW Link. image matching, image segmentation, neural nets, object detection, supervised learning, video signal processing, Real-time systems BibRef

Zhang, L., Lin, Z., Zhang, J., Lu, H., He, Y.,
Fast Video Object Segmentation via Dynamic Targeting Network,
ICCV19(5581-5590)
IEEE DOI 2004
convolutional neural nets, image motion analysis, image segmentation, video signal processing, Strain BibRef

Sibechi, R., Booij, O., Baka, N., Bloem, P.,
Exploiting Temporality for Semi-Supervised Video Segmentation,
CVRSUAD19(933-941)
IEEE DOI 2004
convolutional neural nets, image annotation, image classification, image segmentation, supervised learning, Semi Supervised BibRef

Wu, H., Chen, Y., Wang, N., Zhang, Z.,
Sequence Level Semantics Aggregation for Video Object Detection,
ICCV19(9216-9224)
IEEE DOI 2004
feature extraction, image sequences, neural nets, object detection, pattern clustering, video signal processing, VID problem, Adaptive optics BibRef

Sultana, M., Mahmood, A., Bouwmans, T., Jung, S.K.,
Complete Moving Object Detection in the Context of Robust Subspace Learning,
RSL-CV19(661-668)
IEEE DOI 2004
image motion analysis, image segmentation, learning (artificial intelligence), neural nets, Robust Subspace Learning BibRef

Zhou, Q., Huang, Z., Huang, L., Gong, Y., Shen, H., Liu, W., Wang, X.,
Motion-Guided Spatial Time Attention for Video Object Segmentation,
YouTube-VOS19(693-696)
IEEE DOI 2004
image motion analysis, image recognition, image segmentation, image sequences, learning (artificial intelligence), neural nets, object BibRef

Zhou, Z., Ren, L., Xiong, P., Ji, Y., Wang, P., Fan, H., Liu, S.,
Enhanced Memory Network for Video Segmentation,
YouTube-VOS19(689-692)
IEEE DOI 2004
feature extraction, image segmentation, neural nets, supervised learning, video signal processing, ASPP module, memory network BibRef

Yu, D., Su, K., Guo, H., Wang, J., Zhou, K., Huang, Y., Dong, M., Shao, J., Wang, C.,
Towards Good Practices for Video Object Segmentation,
YouTube-VOS19(701-704)
IEEE DOI 2004
image segmentation, learning (artificial intelligence), social networking (online), video signal processing, Convolutional Neural Network BibRef

Liu, D., Yu, R., Su, H.,
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers,
ICIP19(2279-2283)
IEEE DOI 1910
adversarial attack, adversarial defense, 3D point cloud, deep neural network, fast gradient method BibRef

Zhu, M., Liu, M.,
Mobile Video Object Detection with Temporally-Aware Feature Maps,
CVPR18(5686-5695)
IEEE DOI 1812
Feature extraction, Computational modeling, Object detection, Detectors, Streaming media, Neural networks BibRef

Yang, L., Wang, Y., Xiong, X., Yang, J., Katsaggelos, A.K.,
Efficient Video Object Segmentation via Network Modulation,
CVPR18(6499-6507)
IEEE DOI 1812
Modulation, Visualization, Adaptation models, Image segmentation, Task analysis, Motion segmentation, Neural networks BibRef

Bideau, P.[Pia], Roy Chowdhury, A., Menon, R.R.[Rakesh R.], Learned-Miller, E.G.[Erik G.],
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation,
CVPR18(508-517)
IEEE DOI 1812
Motion segmentation, Optical imaging, Cameras, Semantics, Animals BibRef

Yurdakul, E.E., Yemez, Y.,
Semantic Segmentation of RGBD Videos with Recurrent Fully Convolutional Neural Networks,
MSF17(367-374)
IEEE DOI 1802
Image color analysis, Image segmentation, Neural networks, Semantics, Videos BibRef

Teney, D.[Damien], Hebert, M.[Martial],
Learning to Extract Motion from Videos in Convolutional Neural Networks,
ACCV16(V: 412-428).
Springer DOI 1704
BibRef

Teney, D.[Damien], Brown, M.[Matthew], Kit, D.[Dimitry], Hall, P.[Peter],
Learning similarity metrics for dynamic scene segmentation,
CVPR15(2084-2093)
IEEE DOI 1510
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Segmentation, Motion Saliency, Video Salience .


Last update:Apr 18, 2024 at 11:38:49