Training Object Detectors With Noisy Data

17 May 2019

Papers citing "Training Object Detectors With Noisy Data"

9 / 9 papers shown

Title
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 28 1 0 14 Sep 2024
DISCO: Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes Donghao Zhou Jialin Li Jinpeng Li Jiancheng Huang Qiang Nie Yong-Jin Liu Bin-Bin Gao Qiong Wang Pheng-Ann Heng Guangyong Chen 38 3 0 23 Aug 2023
Combating noisy labels in object detection datasets K. Chachula Jakub Lyskawa Bartlomiej Olber Piotr Fratczak A. Popowicz Krystian Radlak NoLa 26 4 0 25 Nov 2022
Robust Object Detection With Inaccurate Bounding Boxes Chengxin Liu Kewei Wang Hao Lu Zhiguo Cao Ziming Zhang 13 21 0 20 Jul 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 17 29 0 06 Apr 2022
Dynamic Supervisor for Cross-dataset Object Detection Ze Chen Zhihang Fu Jianqiang Huang Mingyuan Tao Sheng-Gang Li Rongxin Jiang Xiang Tian Yao-wu Chen Xiansheng Hua 28 0 0 01 Apr 2022
Effect of Annotation Errors on Drone Detection with YOLOv3 Aybora Koksal K. G. Ince Aydin Alatan 19 20 0 02 Apr 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher S. Hoi ObjD NoLa 62 28 0 03 Mar 2020
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 987 0 21 Feb 2019