[visionlist] [CFP] 2nd Workshop on Learning with Limited Labelled Data for Image and Video Understanding, CVPR23

menna seyam 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 ***

Workshop Website:https://sites.google.com/view/l3d-ivu-2023/

CMT3 Submission:https://cmt3.research.microsoft.com/L3DIVU2023

*CHALLENGE on Long Tail Visual Relationship Recognition:* open for
<https://sites.google.com/view/l3d-ivu-2023/challenges?authuser=1> with
deadline 15 May.


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.

*Submission Guidelines:*


   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
      excluding references.


   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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