Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-labeling

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:DAGM GCPR (43. : 2021 : Online) Pattern recognition
1. Verfasser: Pototzky, Daniel (VerfasserIn)
Weitere Verfasser: Kirschner, Matthias (VerfasserIn), Schmidt-Thieme, Lars (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition 2021 Korsch, Dimitri
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization 2021 Harb, Robert
Distractor-Aware Video Object Segmentation 2021 Robinson, Andreas
Revisiting Consistency Regularization for Semi-supervised Learning 2021 Fan, Yue
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style 2021 Frolov, Stanislav
Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-labeling 2021 Pototzky, Daniel
Learning Conditional Invariance Through Cycle Consistency 2021 Samarin, Maxim
Self-supervised Learning for Object Detection in Autonomous Driving 2021 Pototzky, Daniel
Diverse Image Captioning with Grounded Style 2021 Klein, Franz
Assignment flows and nonlocal PDEs on graphs 2021 Sitenko, Dmitrij
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? 2021 Sanner, Antoine
CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds 2021 Kölle, Michael
Full-Glow: Fully Conditional Glow for More Realistic Image Generation 2021 Sorkhei, Moein
Clustering Persistent Scatterer Points Based on a Hybrid Distance Metric 2021 Schneider, Philipp J.
Spatiotemporal outdoor lighting aggregation on image sequences 2021 Lee, Haebom
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks 2021 Shekhovtsov, Alexander
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning 2021 Penzel, Niklas
Sublabel-Accurate Multilabeling Meets Product Label Spaces 2021 Ye, Zhenzhang
CAGAN: Text-To-Image Generation with Combined Attention Generative Adversarial Networks 2021 Schulze, Henning
Viewpoint-Tolerant Semantic Segmentation for Aerial Logistics 2021 Wang, Shiming
Alle Artikel auflisten