[visionlist] [CFP] Workshop on Learning with Limited Labelled Data for Image and Video Understanding, CVPR22
menna.seyam at gmail.com
Fri Jan 21 15:17:36 -05 2022
Workshop on *Learning with Limited Labelled Data for Image and Video
Understanding, (L3D-IVU) *in conjunction with IEEE/CVF Conference on
Computer Vision and Pattern Recognition (CVPR), 2022.
*** FULL PAPER SUBMISSION DEADLINE: March 5th 2022 23:59 PST ***
Workshop Website: https://sites.google.com/view/l3d-ivu
CMT3 Submission: https://cmt3.research.microsoft.com/L3DIVU2022
*CALL FOR PAPERS:*
We encourage submissions that are under one of the topics of interest, but
also we welcome other interesting and relevant research for learning with
limited labelled data.
Few-Shot classification, detection and segmentation in still images and
video, including objects, actions, and scenes.
Cross-domain few-shot learning.
Self supervised Learning.
Weakly supervised learning.
Real-world applications discussing the societal Impact of fewshot
Accepted papers will be presented at the poster session, some as orals and
two papers will be awarded as the best paper.
We accept submissions of *max 8 pages* (excluding references). We
encourage authors to submit 4 page work as well.
We accept dual submissions to *CVPR 2022* and *L3D-IVU 2022*.
Submitted manuscripts should follow the CVPR 2022 paper template
Submissions will be rejected without review if they:
Contain more than 8 pages (excluding references).
Violate the double-blind policy.
Violate the dual-submission policy for papers with more than 4 pages
The accepted papers will be linked at the workshop webpage. It will also
be in the main conference proceedings if the authors agree (this option is
valid only for *full-length papers not published at CVPR 2022*)
Papers will be peer reviewed under double-blind policy, and must be
submitted online through the CMT submission system.
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