Hi,

We are organizing a workshop on imbalance problems in computer vision in ECCV 2020. Details are provided below

**ECCV Workshop on Imbalance Problems in Computer Vision (IPCV)**

28 August 2020, Glasgow

https://sites.google.com/view/ipcv2020/

**Dates:**

Paper submission: 7 July 2020

Notification: 28 July 2020

Camera ready: 7 August 2020

Workshop: 28 August 2020

**Workshop Theme and Scope**

Performance of learning-based methods is adversely affected by imbalance problems at various levels, including the input, intermediate or mid-level stages of the processing or the objectives to be optimized in a multi-task setting. Currently, researchers tend to address these challenges in their particular context with problem-specific solutions and with limited awareness of the solutions proposed for similar challenges in other computer vision problems.

Imbalance problems can arise in  almost all computer vision problems and therefore, the workshop is highly relevant and interesting for a broad community. A recent, comprehensive review paper on imbalance problems in object detection (IEEE TPAMI, 2020; preprint: https://arxiv.org/abs/1909.00169)  cites over 200 papers which were written by 655 unique authors. We interpret these numbers (which are specific to just one computer vision task, namely, object detection) as strong indicators of interest in imbalance problems.

We invite contributions for (i) the dissemination of approaches developed in individual problems, as well as (ii) discussing commonalities between these approaches for developing better and more general solutions for addressing imbalance problems in computer vision.

**Paper Submission**

Paper template and length: Please follow ECCV2020 format and guidelines.

Submission link: https://openreview.net/group?id=thecvf.com/ECCV/2020/Workshop/IPCV

**Proceedings:** 

Accepted papers will be included in ECCV2020 Workshop Proceedings.

**Presentation Information**

All accepted papers will have a spotlight presentation followed by a poster session.

**Organizers**

Sinan Kalkan, University of Cambridge; Middle East Technical University

Emre Akbas, Middle East Technical University

Nuno Vasconcelos, University of  California San Diego

Baris Can Cam, Middle East Technical University

Kemal Oksuz, Middle East Technical University