Narrowing the Gap: Improved Detector Training with Noisy Location Annotations

IEEE Transactions on Image Processing (IEEE TIP), 2022

12 June 2022

Bing Li

Papers citing "Narrowing the Gap: Improved Detector Training with Noisy Location Annotations"

6 / 6 papers shown

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Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and CalibrationComputer Vision and Pattern Recognition (CVPR), 2023

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Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep LearningFrontiers in Plant Science (Front. Plant Sci.), 2023

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Combating noisy labels in object detection datasets

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25 Nov 2022