Svenja Uhlemeyer | DeepAI

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∙ 04/30/2023

Detecting Novelties with Empty Classes

For open world applications, deep neural networks (DNNs) need to be awar...

0 Svenja Uhlemeyer, et al. ∙

∙ 02/06/2023

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey

Deep neural networks (DNN) which are employed in perception systems for ...

0 Daniel Bogdoll, et al. ∙

∙ 10/05/2022

Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects

In this work we present two video test data sets for the novel computer ...

0 Kira Maag, et al. ∙

∙ 02/17/2022

Detecting and Learning the Unknown in Semantic Segmentation

Semantic segmentation is a crucial component for perception in automated...

4 Robin Chan, et al. ∙

∙ 01/04/2022

Towards Unsupervised Open World Semantic Segmentation

For the semantic segmentation of images, state-of-the-art deep neural ne...

31 Svenja Uhlemeyer, et al. ∙

∙ 04/30/2021

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation

State-of-the-art semantic or instance segmentation deep neural networks ...

17 Robin Chan, et al. ∙

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