Advanced Machine Learning Methodologies for Large-Scale Video Object Segmentation and Detection Call for Papers

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

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