A Survey of Dataset Refinement for Problems in Computer Vision Datasets

A Survey of Dataset Refinement for Problems in Computer Vision Datasets

21 October 2022

CheukTing Chung

Zheng Wang

Papers citing "A Survey of Dataset Refinement for Problems in Computer Vision Datasets"

10 / 10 papers shown

Title
Contributing Dimension Structure of Deep Feature for Coreset Selection Zhijing Wan Zhixiang Wang Yuran Wang Zheng Wang Hongyuan Zhu Shiníchi Satoh 13 6 0 29 Jan 2024
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 79 129 0 06 Oct 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 113 119 0 16 Jul 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 78 184 0 27 Feb 2021
Deep Active Learning in Remote Sensing for data efficient Change Detection Vít Ruzicka Stefano Dáronco Jan Dirk Wegner Konrad Schindler 21 29 0 25 Aug 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 157 541 0 21 Jul 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 368 0 09 May 2020
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 41 170 0 24 May 2019
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 229 443 0 28 Nov 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,150 0 09 Jun 2011