[ICCV2019] Detecting the Unexpected via Image Resynthesis
作者：Krzysztof Lis ， EPFL Introduction 利用GAN網絡做圖像中未知物體的 anomaly detection。該任務簡單來說即爲，訓練數據中沒有該類別物體以及其標籤，但測試數據中有，如何定位該物體。傳統思路有兩種：1、根據預測的分割圖中較低的confidence score來找未知物體的區域（segmentation uncertainty）；2、利用auto-e
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相關文章
- 1. [ICCV2019] Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation
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