ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data

2 September 2023

Papers citing "ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data"

23 / 23 papers shown

Title
Combating noisy labels in object detection datasets K. Chachula Jakub Lyskawa Bartlomiej Olber Piotr Fratczak A. Popowicz Krystian Radlak NoLa 48 4 0 25 Nov 2022
Identifying Incorrect Annotations in Multi-Label Classification Data Aditya Thyagarajan Elías Snorrason Curtis G. Northcutt Jonas W. Mueller 73 11 0 25 Nov 2022
Detecting Label Errors in Token Classification Data Wei-Chen Wang Jonas W. Mueller 118 14 0 08 Oct 2022
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification Matthias Rottmann Marco Reese UQCV 42 25 0 13 Jul 2022
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future Jan-Christoph Klie Bonnie Webber Iryna Gurevych 82 46 0 05 Jun 2022
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 79 136 0 30 Apr 2021
A Survey of Modern Deep Learning based Object Detection Models Syed Sahil Abbas Zaidi M. S. Ansari Asra Aslam N. Kanwal M. Asghar Brian Lee VLM ObjD 136 753 0 24 Apr 2021
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G. Northcutt Anish Athalye Jonas W. Mueller 76 537 0 26 Mar 2021
Augmentation Strategies for Learning with Noisy Labels Kento Nishi Yi Ding Alex Rich Tobias Höllerer NoLa 56 118 0 03 Mar 2021
TIDE: A General Toolbox for Identifying Object Detection Errors Daniel Bolya Sean Foley James Hays Judy Hoffman 79 195 0 18 Aug 2020
Identifying Mislabeled Instances in Classification Datasets Nicolas Müller Karla Markert 41 50 0 11 Dec 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 151 696 0 31 Oct 2019
Temporal Coherence for Active Learning in Videos Javad Zolfaghari Bengar Abel Gonzalez-Garcia Gabriel Villalonga Bogdan Raducanu H. H. Aghdam M. Mozerov Antonio M. López Joost van de Weijer 50 46 0 30 Aug 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark Kai-xiang Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong ... Jingdong Wang Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin VOS 163 2,871 0 17 Jun 2019
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 85 2,608 0 20 May 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 106 1,456 0 14 Dec 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 480 22,134 0 09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,345 0 16 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,360 0 04 Jun 2015
Training Convolutional Networks with Noisy Labels Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir D. Bourdev Rob Fergus NoLa 92 272 0 09 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 416 43,777 0 01 May 2014
Identifying Mislabeled Training Data C. Brodley M. Friedl 109 970 0 01 Jun 2011