{"id":118542,"date":"2021-11-01T03:22:17","date_gmt":"2021-10-31T18:22:17","guid":{"rendered":"http:\/\/175.125.95.178\/ai-in-communication\/18542\/"},"modified":"2026-04-13T03:41:23","modified_gmt":"2026-04-12T18:41:23","slug":"18542","status":"publish","type":"ai-in-communication","link":"http:\/\/ee.presscat.kr\/en\/ai-in-communication\/18542\/","title":{"rendered":"Novelty Detection Via Blurring, ICLR 2020"},"content":{"rendered":"<p align=\"left\" style=\"text-align:left\"><span style=\"font-size:10pt\"><span style=\"background:white\"><span style=\"line-height:normal\"><span><span><span><span lang=\"EN-US\" style=\",sans-serif\"><span style=\"color:black\">Sungik Choi and Sae-Young Chung<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p align=\"left\" style=\"text-align:left\"><span style=\"font-size:10pt\"><span style=\"background:white\"><span style=\"line-height:normal\"><span><span><span><span lang=\"EN-US\" style=\"border:none windowtext 1.0pt;background:white;padding:0cm\"><span style=\",serif\"><span style=\"color:#212529\">Conventional out-of-distribution (OOD) detection schemes based on variational autoencoder or Random Network Distillation (RND) are known to assign lower uncertainty to the OOD data than the target distribution. In this work, we discover that such conventional novelty detection schemes are also vulnerable to the blurred images. Based on the observation, we construct a novel RND-based OOD detector, SVD-RND, that utilizes blurred images during training. Our detector is simple, efficient in test time, and outperforms baseline OOD detectors in various domains. Further results show that SVD-RND learns a better target distribution representation than the baselines. Finally, SVD-RND combined with geometric transform achieves near-perfect detection accuracy in CelebA domain.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p align=\"left\" style=\"text-align:left\"><span style=\"font-size:10pt\"><span style=\"background:white\"><span style=\"line-height:normal\"><span><span><span><span lang=\"EN-US\" style=\"border:none windowtext 1.0pt;background:white;padding:0cm\"><span style=\",serif\"><span style=\"color:#212529\"><\/p>\n<div class=\"\"><img decoding=\"async\" class=\"\" src=\"\/wp-content\/uploads\/drupal\/\uc815\uc138\uc601\uad50\uc218\ub2d82_0.png\" alt=\"\" title=\"\"><\/div>\n<p><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>661<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-118542","ai-in-communication","type-ai-in-communication","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/ai-in-communication\/118542","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/ai-in-communication"}],"about":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/types\/ai-in-communication"}],"wp:attachment":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media?parent=118542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}