15 citations · 15 across the 1 of their papers we have counts for
3 papers
cs.CV2022★ 15 cited
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Yang Zou, Jongheon Jeong, Latha Pemula +2
Visual anomaly detection is commonly used in industrial quality inspection. In this paper, we present a new dataset as well as a new self-supervised learning method for ImageNet pr…
cs.CV2021
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth, Latha Pemula, Joaquin Zepeda +3
Being able to spot defective parts is a critical component in large-scale industrial manufacturing. A particular challenge that we address in this work is the cold-start problem: f…
cs.LG2016
Radio Transformer Networks: Attention Models for Learning to Synchronize in Wireless Systems
Timothy J O'Shea, Latha Pemula, Dhruv Batra +1
We introduce learned attention models into the radio machine learning domain for the task of modulation recognition by leveraging spatial transformer networks and introducing new r…