mlsanityData to 7 Oct 2026

Uncertainty Estimation in One-Stage Object Detection

arXiv 1905.10296 ↗First posted 24 May 2019cs.CV cs.LGcited by 36

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Abstract (arXiv)

Environment perception is the task for intelligent vehicles on which all subsequent steps rely. A key part of perception is to safely detect other road users such as vehicles, pedestrians, and cyclists. With modern deep learning techniques huge progress was made over the last years in this field. However such deep learning based object detection models cannot predict how certain they are in their predictions, potentially hampering the performance of later steps such as tracking or sensor fusion. We present a viable approaches to estimate uncertainty in an one-stage object detector, while improving the detection performance of the baseline approach. The proposed model is evaluated on a large scale automotive pedestrian dataset. Experimental results show that the uncertainty outputted by our system is coupled with detection accuracy and the occlusion level of pedestrians.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 May 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 5; 2023: 7; 2024: 9; 2025: 0; 2026: 2.

36 papers.

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  1. 2021Evidential Deep Learning for Open Set Action Recognitioncited by 96
  2. 2021Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectorscited by 37
  3. 2022Probabilistic Representations for Video Contrastive Learningcited by 33
  4. 2022Uncertainty-Aware Multi-View Representation Learningcited by 29
  5. 2023Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputscited by 28
  6. 2021Uncertainty for Identifying Open-Set Errors in Visual Object Detectioncited by 26
  7. 2021T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptationcited by 24
  8. 2021A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applicationscited by 24
  9. 2024Adaptive Bounding Box Uncertainties via Two-Step Conformal Predictioncited by 23
  10. 2021Monte Carlo DropBlock for Modelling Uncertainty in Object Detectioncited by 20
  11. 2021Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learningcited by 20
  12. 2022Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimationcited by 19
24 more
  1. 2021Auto-Encoding Score Distribution Regression for Action Quality Assessmentcited by 18
  2. 2024RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Lossescited by 18
  3. 2021Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectorscited by 16
  4. 2021Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimationcited by 11
  5. 2023EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learningcited by 10
  6. 2024Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Spacecited by 8
  7. 2022Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagerycited by 7
  8. 2023Building Extraction from Remote Sensing Images via an Uncertainty-Aware Networkcited by 7
  9. 2023Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibrationcited by 5
  10. 2024BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detectioncited by 5
  11. 2021An Uncertainty Estimation Framework for Probabilistic Object Detectioncited by 4
  12. 2024UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Trackingcited by 4
  13. 2022Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Losscited by 3
  14. 2023Uncertainty-Aware Gradient Stabilization for Small Object Detectioncited by 2
  15. 2024MMLF: Multi-modal Multi-class Late Fusion for Object Detection with Uncertainty Estimationcited by 2
  16. 2021Fast and Reliable Probabilistic Face Embeddings in the Wildcited by 1
  17. 2021Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modelingcited by 0
  18. 2023A Trustworthiness Score to Evaluate DNN Predictionscited by 0
  19. 2023Variational Voxel Pseudo Image Trackingcited by 0
  20. 2024UTrack: Multi-Object Tracking with Uncertain Detectionscited by 0
  21. 2024Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shiftcited by 0
  22. 2024Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysiscited by 0
  23. 2026Calibrating Probabilistic Object Detectors with Annotator Disagreementcited by 0
  24. 2026From Keypoints to Predictive Distributions: Post-Hoc Uncertainty for YOLO-Pose Modelscited by 0