[visionlist] CfP: IEEE T-CSVT SI on "Advanced Machine Learning Methodologies for Large-Scale Video Object Segmentation and Detection"

[Dingwen Zhang]

CfP: IEEE T-CSVT SI on "Advanced Machine Learning Methodologies for
Large-Scale Video Object Segmentation and Detection"

<BIGDATA at lists.drexel.edu>
*IMPORTANT DATES: *

Manuscript submission:           1st November 2020

Preliminary results:                  1st February 2021

Revisions due:                         15th March 2021

Notification:                             1st May 2021

Final manuscripts due:             1st June 2021

Anticipated publication:          November 2021


*SCOPE:*

This special issue aims at promoting cutting-edge research for establishing
video object segmentation and detection frameworks based on the advanced
machine learning technologies and offers a timely collection of works to
benefit researchers and practitioners. We welcome high-quality original
submissions addressing both novel theoretical and practical aspects related
to this topic.


Topics of interests include, but are not limited to:

-          Video object segmentation/detection based on graph convolutional
networks

-          Video object segmentation/detection based on capsule networks

-          Video object segmentation/detection based on deep reinforcement
learning

-          Video object segmentation/detection based on generative
adversarial learning

-          Weakly supervised video object segmentation/detection

-          Semi-supervised video object segmentation/detection

-          Zero/few-shot video object segmentation/detection

-          Unsupervised video object segmentation/detection

-        Active learning and cross-domain learning frameworks for video
object segmentation/detection

-          Self-taught learning-based frameworks for video object
segmentation/detection

-          Saliency detection and its applications in video object
segmentation/detection

-          Representation learning for video object segmentation/detection

-         Tracking and other video understanding systems based on video
object segmentation/detection

*GUEST EDITORS:*

Dingwen Zhang, Xidian University

Hamid Rezatofighi, University of Adelaide

Junwei Han, Northwestern Polytechnical University

Nicu Sebe, University of Trento

-- 
Dingwen Zhang
https://zdw-nwpu.github.io/dingwenz.github.com/
Xidian University
Carnegie Mellon University
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