Dealing with Novelty in the Open World @ WACV’21

October 5th, 2021 Daniela Lopez de Luise

Call for Papers: DNOW@WACV 22

Overview

Computer vision, machine learning and artificial intelligence algorithms are often developed inside a closed-world paradigm, for example, recognizing objects from a fixed set of categories. However, the “world” is open and constantly and dynamically changes. As a result, when the “world” changes, these algorithms are unable to detect the change and then continue to perform their tasks with incorrect and sometimes misleading predictions. In this workshop, we aim to facilitate research directions that aim to operate well in the open world while maintaining performance in the “closed” world. Many real-world applications considered at WACV must deal with changing worlds where a variety of novelty is introduced (e.g., new classes of objects)

 We are calling for paper submissions to the “Dealing With Novelty in Open World''(DNOW) workshop which will happen at WACV’22. We are excited to see you participate in this workshop and hope that we, together, as a community, hold meaningful conversations and exchange ideas on this extremely relevant space in computer vision. We hope that the discussions we hold will be of interest to multiple stakeholders in this domain.

Paper Tracks

We are providing 2 tracks for paper submission. Submissions under each track will be reviewed by an expert panel.

  • Track 1: Full Paper

In this track, authors are expected to submit works that meet the criterion of submission at a Computer Vision conference, specifically at WACV.

  • Track 2: Short Unpublished Paper

In this track, authors can submit a paper where they have substantial ideas/results but the work is not up to the expectations that a full paper has.

Submission Instructions

Authors are required to use the same author kit as provided by WACV, 2022. All submissions will be handled through CMT

Important Dates:

  • Paper Submission Deadline: Oct 11, 2021

  • Acceptance Notification: Nov 5, 2021

  • Camera Ready Submission: Nov 19, 2021

For more information: https://www.cs.umd.edu/~pulkit/DNOW_workshop



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