https://minghuichen.com/categories/webinar/ Recent content in Webinar on Minghui Chen Hugo en Thu, 30 Dec 2021 00:00:00 +0000 https://minghuichen.com/talk/valse_cil-reid/ Thu, 30 Dec 2021 00:00:00 +0000 https://minghuichen.com/talk/valse_cil-reid/ <h2 id="abstract">Abstract <a href="#abstract"><svg class="anchor-symbol" aria-hidden="true" height="26" width="26" viewBox="0 0 22 22" xmlns="http://www.w3.org/2000/svg"> <path d="M0 0h24v24H0z" fill="currentColor"></path> <path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76.0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71.0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71.0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76.0 5-2.24 5-5s-2.24-5-5-5z"></path> </svg></a> </h2> <p>When deploying person re-identification (ReID) model in safety-critical applications, it is pivotal to understanding the robustness of the model against a diverse array of image corruptions. However, current evaluations of person ReID only consider the performance on clean datasets and ignore images in various corrupted scenarios.</p>