[visionlist] [CFP] 2nd Workshop on Learning with Limited Labelled Data for Image and Video Understanding, CVPR23
menna.seyam at gmail.com
Wed Mar 1 07:50:05 -04 2023
2nd Workshop on*Learning with Limited Labelled Data for Image and Video
Understanding, (L3D-IVU) *in conjunction with IEEE/CVF Conference on
ComputerVisionand Pattern Recognition (CVPR), 2023.
*** FULL PAPER SUBMISSION Extended DEADLINE: March 6th 2023 23:59 PST ***
*CHALLENGE on Long Tail Visual Relationship Recognition:* open for
deadline 15 May.
*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.
- Zero-shot learning in video understanding.
- Video and language modelling.
- Self supervised Learning in video related tasks.
- Weakly/Semi supervised learning in video understanding.
- Transfer Learning.
- Open-set learning.
- New benchmarks and metrics.
- Real-world applications discussing the societal Impact of few-shot
Accepted papers will be presented at the poster session, some as orals and
one paper 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 2023 *and *L3D-IVU2023*.
Submitted manuscripts should follow the CVPR 2023 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 2023*)
Papers will be peer reviewed under double-blind policy, and must be
submitted online through the CMT submission system.
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