Search Results for author:
Found 2 papers, 1 papers with code
Label-guided Attention Distillation for Lane Segmentation
In this paper, we address this issue by designing a distillation method that exploits label structure when training segmentation network.
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
SimpleNet consists of four components: (1) a pre-trained Feature Extractor that generates local features, (2) a shallow Feature Adapter that transfers local features towards target domain, (3) a simple Anomaly Feature Generator that counterfeits anomaly features by adding Gaussian noise to normal features, and (4) a binary Anomaly Discriminator that distinguishes anomaly features from normal features.
Ranked #11 on
Anomaly Detection
on MVTec AD
(using extra training data)
