Towards Noise-resistant Object Detection with Noisy Annotations

3 March 2020

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

20 / 20 papers shown

Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 52 0 0 25 Feb 2025
NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection Yechan Kim SooYeon Kim Moongu Jeon ViT 40 1 0 08 Jan 2025
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 16 1 0 14 Sep 2024
Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels Guozhang Liu Ting Liu Mengke Yuan Tao Pang Guangxing Yang Hao Fu Tao Wang Tongkui Liao NoLa 27 1 0 15 May 2024
Robust Tiny Object Detection in Aerial Images amidst Label Noise Haoran Zhu Chang Xu Wen Yang Ruixiang Zhang Yan Zhang Gui-Song Xia NoLa 20 1 0 16 Jan 2024
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection Kwang-seok Ryoo Yeonsik Jo Seungjun Lee Mira Kim Ahra Jo S. Kim Seungryong Kim Soonyoung Lee NoLa 18 1 0 21 Dec 2023
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
Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes Di Wu Pengfei Chen Xuehui Yu Guorong Li Zhenjun Han Jianbin Jiao 27 8 0 22 Jul 2023
Combating noisy labels in object detection datasets K. Chachula Jakub Lyskawa Bartlomiej Olber Piotr Fratczak A. Popowicz Krystian Radlak NoLa 8 4 0 25 Nov 2022
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version) Maximilian Bernhard Matthias Schubert ObjD 8 3 0 24 Oct 2022
Soft-labeling Strategies for Rapid Sub-Typing Grant Rosario David A. Noever Matt Ciolino 35 1 0 23 Sep 2022
Robust Object Detection With Inaccurate Bounding Boxes Chengxin Liu Kewei Wang Hao Lu Zhiguo Cao Ziming Zhang 6 21 0 20 Jul 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 11 29 0 06 Apr 2022
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining Saksham Suri Sai Saketh Rambhatla Rama Chellappa Abhinav Shrivastava ObjD 14 11 0 12 Jan 2022
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression Jiabo He S. Erfani Xingjun Ma James Bailey Ying Chi Xiansheng Hua 26 243 0 26 Oct 2021
Noisy Annotation Refinement for Object Detection Jiafeng Mao Qing Yu Yoko Yamakata Kiyoharu Aizawa NoLa 20 10 0 20 Oct 2021
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators Cosmin Octavian Pene Amirmasoud Ghiassi Taraneh Younesian Robert Birke Lydia Y. Chen 26 3 0 04 Aug 2021
Sum of Ranked Range Loss for Supervised Learning Shu Hu Yiming Ying Xin Wang Siwei Lyu 8 23 0 07 Jun 2021
Evaluating Multi-label Classifiers with Noisy Labels Wenting Zhao Carla P. Gomes NoLa 63 14 0 16 Feb 2021
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