Towards Noise-resistant Object Detection with Noisy Annotations

3 March 2020

Papers citing "Towards Noise-resistant Object Detection with Noisy Annotations"

4 / 4 papers shown

Title
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 16 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 Y. Liu Bin-Bin Gao Qiong Wang Pheng-Ann Heng Guangyong Chen 10 3 0 23 Aug 2023
Robust Object Detection With Inaccurate Bounding Boxes Chengxin Liu Kewei Wang Hao Lu Zhiguo Cao Ziming Zhang 6 21 0 20 Jul 2022
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017