Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets
Fuente:
arXiv
Saved in:
| Main Authors: | Penquitt, Sarina, Riedlinger, Tobias, Heller, Timo, Reischl, Markus, Rottmann, Matthias |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
by: Penquitt, Sarina, et al.
Published: (2025)
by: Penquitt, Sarina, et al.
Published: (2025)
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
by: Rottmann, Matthias, et al.
Published: (2022)
by: Rottmann, Matthias, et al.
Published: (2022)
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
by: Riedlinger, Tobias J., et al.
Published: (2025)
by: Riedlinger, Tobias J., et al.
Published: (2025)
Temporal Object Captioning for Street Scene Videos from LiDAR Tracks
by: Gopinathan, Vignesh, et al.
Published: (2025)
by: Gopinathan, Vignesh, et al.
Published: (2025)
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks
by: Maag, Kira, et al.
Published: (2019)
by: Maag, Kira, et al.
Published: (2019)
LEMoN: Label Error Detection using Multimodal Neighbors
by: Zhang, Haoran, et al.
Published: (2024)
by: Zhang, Haoran, et al.
Published: (2024)
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
by: Maag, Kira, et al.
Published: (2023)
by: Maag, Kira, et al.
Published: (2023)
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates
by: Maag, Kira, et al.
Published: (2020)
by: Maag, Kira, et al.
Published: (2020)
Graph Query Networks for Object Detection with Automotive Radar
by: Saini, Loveneet, et al.
Published: (2025)
by: Saini, Loveneet, et al.
Published: (2025)
Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
by: van Betteray, Antonia, et al.
Published: (2025)
by: van Betteray, Antonia, et al.
Published: (2025)
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
by: Ilyas, Sadia, et al.
Published: (2024)
by: Ilyas, Sadia, et al.
Published: (2024)
ProtoP-OD: Explainable Object Detection with Prototypical Parts
by: Rath-Manakidis, Pavlos, et al.
Published: (2024)
by: Rath-Manakidis, Pavlos, et al.
Published: (2024)
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
by: Henriksson, Jens, et al.
Published: (2024)
by: Henriksson, Jens, et al.
Published: (2024)
Extending Dataset Pruning to Object Detection: A Variance-based Approach
by: Yagi, Ryota
Published: (2025)
by: Yagi, Ryota
Published: (2025)
Towards Reducing Data Acquisition and Labeling for Defect Detection using Simulated Data
by: Kemeter, Lukas Malte, et al.
Published: (2024)
by: Kemeter, Lukas Malte, et al.
Published: (2024)
Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection
by: Bartolo, Matthias, et al.
Published: (2024)
by: Bartolo, Matthias, et al.
Published: (2024)
Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos
by: Biswas, Dipayan, et al.
Published: (2025)
by: Biswas, Dipayan, et al.
Published: (2025)
Towards Robust Cross-Dataset Object Detection Generalization under Domain Specificity
by: Chakraborty, Ritabrata, et al.
Published: (2026)
by: Chakraborty, Ritabrata, et al.
Published: (2026)
Plug and Play Active Learning for Object Detection
by: Yang, Chenhongyi, et al.
Published: (2022)
by: Yang, Chenhongyi, et al.
Published: (2022)
2.5D Object Detection for Intelligent Roadside Infrastructure
by: Polley, Nikolai, et al.
Published: (2025)
by: Polley, Nikolai, et al.
Published: (2025)
Investigation of the Impact of Synthetic Training Data in the Industrial Application of Terminal Strip Object Detection
by: Baumgart, Nico, et al.
Published: (2024)
by: Baumgart, Nico, et al.
Published: (2024)
Comparing Surface Landmine Object Detection Models on a New Drone Flyby Dataset
by: Agrawal-Chung, Navin, et al.
Published: (2024)
by: Agrawal-Chung, Navin, et al.
Published: (2024)
Performance-guided Reinforced Active Learning for Object Detection
by: Liang, Zhixuan, et al.
Published: (2026)
by: Liang, Zhixuan, et al.
Published: (2026)
Are All Marine Species Created Equal? Performance Disparities in Underwater Object Detection
by: Wille, Melanie, et al.
Published: (2025)
by: Wille, Melanie, et al.
Published: (2025)
The Impact of Semi-Supervised Learning on Line Segment Detection
by: Engman, Johanna, et al.
Published: (2024)
by: Engman, Johanna, et al.
Published: (2024)
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection
by: Khalil, Ahmad, et al.
Published: (2024)
by: Khalil, Ahmad, et al.
Published: (2024)
Detecting Car Speed using Object Detection and Depth Estimation: A Deep Learning Framework
by: Dasgupta, Subhasis, et al.
Published: (2024)
by: Dasgupta, Subhasis, et al.
Published: (2024)
Coreset Selection for Object Detection
by: Lee, Hojun, et al.
Published: (2024)
by: Lee, Hojun, et al.
Published: (2024)
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora
by: Adaloglou, Nikolas, et al.
Published: (2025)
by: Adaloglou, Nikolas, et al.
Published: (2025)
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling
by: Islam, Iman, et al.
Published: (2024)
by: Islam, Iman, et al.
Published: (2024)
Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions
by: Haar, Lynn Vonder, et al.
Published: (2024)
by: Haar, Lynn Vonder, et al.
Published: (2024)
CLImage: Human-Annotated Datasets for Complementary-Label Learning
by: Wang, Hsiu-Hsuan, et al.
Published: (2023)
by: Wang, Hsiu-Hsuan, et al.
Published: (2023)
Correlation of Object Detection Performance with Visual Saliency and Depth Estimation
by: Bartolo, Matthias, et al.
Published: (2024)
by: Bartolo, Matthias, et al.
Published: (2024)
UrbanGenAI: Reconstructing Urban Landscapes using Panoptic Segmentation and Diffusion Models
by: Kapsalis, Timo
Published: (2024)
by: Kapsalis, Timo
Published: (2024)
IndoorCrowd: A Multi-Scene Dataset for Human Detection, Segmentation, and Tracking with an Automated Annotation Pipeline
by: Nae, Sebastian-Ion, et al.
Published: (2026)
by: Nae, Sebastian-Ion, et al.
Published: (2026)
Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation
by: Guo, Weidong, et al.
Published: (2024)
by: Guo, Weidong, et al.
Published: (2024)
Why Domain Matters: A Preliminary Study of Domain Effects in Underwater Object Detection
by: Wille, Melanie, et al.
Published: (2026)
by: Wille, Melanie, et al.
Published: (2026)
A Study on Real-time Object Detection using Deep Learning
by: Bose, Ankita, et al.
Published: (2026)
by: Bose, Ankita, et al.
Published: (2026)
Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning
by: Ilyas, Sadia, et al.
Published: (2026)
by: Ilyas, Sadia, et al.
Published: (2026)
New Foggy Object Detecting Model
by: Banavathu, Rahul, et al.
Published: (2024)
by: Banavathu, Rahul, et al.
Published: (2024)
Similar Items
-
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
by: Penquitt, Sarina, et al.
Published: (2025) -
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification
by: Rottmann, Matthias, et al.
Published: (2022) -
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
by: Riedlinger, Tobias J., et al.
Published: (2025) -
Temporal Object Captioning for Street Scene Videos from LiDAR Tracks
by: Gopinathan, Vignesh, et al.
Published: (2025) -
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks
by: Maag, Kira, et al.
Published: (2019)