Imbalance Problems in Object Detection: A Review

31 August 2019

Papers citing "Imbalance Problems in Object Detection: A Review"

41 / 41 papers shown

Title
Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation Hubert Padusinski Christian Steinhauser Christian Scherl Julian Gaal Jacob Langner 3DPC 27 0 0 05 May 2025
T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Manikanta Varaganti Amulya Vankayalapati Nour Awad Gregory R. Dion Laura J. Brattain DiffM MedIm 64 0 0 29 Apr 2025
A Decade of You Only Look Once (YOLO) for Object Detection Leo Thomas Ramos Angel D. Sappa 66 0 0 24 Apr 2025
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 88 0 0 15 Oct 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 32 8 0 02 May 2024
Domain Adaptation for Large-Vocabulary Object Detectors Kai Jiang Jiaxing Huang Weiying Xie Jie Lei Yunsong Li Ling Shao Shijian Lu ObjD VLM 32 2 0 13 Jan 2024
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 13 0 0 26 Dec 2023
Query by Activity Video in the Wild Tao Hu William Thong Pascal Mettes Cees G. M. Snoek 22 0 0 23 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 77 2 0 23 Nov 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection Zhaohui Zheng Yuming Chen Qibin Hou Xiang Li Ping Wang Ming-Ming Cheng ObjD 24 3 0 20 Oct 2023
Rethinking the Localization in Weakly Supervised Object Localization Rui Xu Yong Luo Han Hu Bo Du Jialie Shen Yonggang Wen WSOL 25 3 0 11 Aug 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 15 16 0 03 Jul 2023
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations M. Wong M. Ramanujam Guha Balakrishnan Ravi Netravali 20 4 0 04 Apr 2023
Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks Chun Bao Jie Cao Yaqian Ning Yang Cheng Q. Hao 21 1 0 23 Nov 2022
Inverse Image Frequency for Long-tailed Image Recognition Konstantinos Panagiotis Alexandridis Shang Luo Anh H. Nguyen Jiankang Deng S. Zafeiriou 38 9 0 11 Sep 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification D. Guo Zhuo Li Meixi Zheng He Zhao Mingyuan Zhou H. Zha 25 24 0 05 Aug 2022
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector Ziping Yu Hongbo Huang Weijun Chen Yongxin Su Yahui Liu Xiu-Ying Wang ObjD CVBM 13 159 0 03 Aug 2022
Towards Large-Scale Small Object Detection: Survey and Benchmarks Gong Cheng Xiang Yuan Xiwen Yao Ke Yan Qinghua Zeng Xingxing Xie Junwei Han ObjD 19 303 0 28 Jul 2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language Zhiying Zhu Weixin Liang James Y. Zou 32 9 0 30 Jun 2022
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark Chang Xu Jinwang Wang Wen Yang Huai Yu Lei Yu Guisong Xia 28 153 0 28 Jun 2022
Improving Localization for Semi-Supervised Object Detection L. Rossi Akbar Karimi Andrea Prati 22 1 0 21 Jun 2022
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 42 13 0 23 Sep 2021
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification Chongsheng Zhang Paolo Soda Jingjun Bi Gaojuan Fan G. Almpanidis S. García 26 39 0 01 Sep 2021
Rank & Sort Loss for Object Detection and Instance Segmentation Kemal Oksuz Baris Can Cam Emre Akbas Sinan Kalkan 19 42 0 24 Jul 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang Tianxiang Pan Bin Wang 26 54 0 11 Jul 2021
Gaussian Bounding Boxes and Probabilistic Intersection-over-Union for Object Detection Jeffri Murrugarra-Llerena Luis Felipe de Araujo Zeni Lucas N. Kirsten C. R. Jung 16 33 0 10 Jun 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 44 243 0 29 Apr 2021
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks Valentina Rossi Paolo Testolina M. Giordani M. Zorzi 23 8 0 23 Apr 2021
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors Chaoqi Chen Zebiao Zheng Yue Huang Xinghao Ding Yizhou Yu OOD ObjD 14 59 0 25 Mar 2021
Unbiased Teacher for Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Z. Kira Peter Vajda 33 472 0 18 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 966 0 13 Dec 2020
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems Kailai Zhou Linsen Chen Xun Cao 20 177 0 07 Aug 2020
Reducing Label Noise in Anchor-Free Object Detection Nermin Samet Samet Hicsonmez Emre Akbas ObjD 16 6 0 03 Aug 2020
Foreground-Background Imbalance Problem in Deep Object Detectors: A Review Joya Chen Qi Wu Dong Liu Tong Bill Xu ObjD 17 24 0 16 Jun 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen C. Miao Hanwang Zhang VLM CLL 11 80 0 02 Apr 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 11 279 0 06 Jan 2020
Guided Attention Network for Object Detection and Counting on Drones Yuanqiang Cai Dawei Du Libo Zhang Longyin Wen Weiqiang Wang Y. Wu Siwei Lyu 14 57 0 25 Sep 2019
Is Heuristic Sampling Necessary in Training Deep Object Detectors? Joya Chen Dong Liu Tong Bill Xu Shiwei Wu Yifei Cheng Enhong Chen ObjD VLM 18 12 0 11 Sep 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,608 0 19 Feb 2017
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 232 446 0 28 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016