Narrowing the Gap: Improved Detector Training with Noisy Location
Annotations

Narrowing the Gap: Improved Detector Training with Noisy Location Annotations

12 June 2022

Bing Li

Papers citing "Narrowing the Gap: Improved Detector Training with Noisy Location Annotations"

4 / 4 papers shown

Title
In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking Peng Gao Shi-Min Li Feng Gao Fei Wang Ruyue Yuan Hamido Fujita 42 8 0 27 Feb 2024
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 23 16 0 03 Jul 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
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 356 5,811 0 29 Apr 2021