Noisy Annotation Refinement for Object Detection

Noisy Annotation Refinement for Object Detection

20 October 2021

Jiafeng Mao

Kiyoharu Aizawa

Papers citing "Noisy Annotation Refinement for Object Detection"

6 / 6 papers shown

Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 57 0 0 25 Feb 2025
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 26 1 0 14 Sep 2024
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints Abubakar Siddique Henry Medeiros 32 5 0 31 Dec 2022
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
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 316 498 0 05 Mar 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