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MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing
  for Active Annotation in Aerial Object Detection

MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection

6 December 2022
Dong Liang
Jingwei Zhang
Ying-Peng Tang
Sheng-Jun Huang
ArXivPDFHTML

Papers citing "MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection"

27 / 27 papers shown
Title
Active Learning Strategies for Weakly-supervised Object Detection
Active Learning Strategies for Weakly-supervised Object Detection
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
84
19
0
25 Jul 2022
Active Learning for Open-set Annotation
Active Learning for Open-set Annotation
Kun-Peng Ning
Xun Zhao
Yu Li
Sheng-Jun Huang
45
35
0
18 Jan 2022
Anchor Retouching via Model Interaction for Robust Object Detection in
  Aerial Images
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images
Dong Liang
Qixiang Geng
Zongqi Wei
D. Vorontsov
Ekaterina L. Kim
Mingqiang Wei
Huiyu Zhou
ObjD
52
47
0
13 Dec 2021
TALISMAN: Targeted Active Learning for Object Detection with Rare
  Classes and Slices using Submodular Mutual Information
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
Suraj Kothawade
Saikat Ghosh
Sumit Shekhar
Yu Xiang
Rishabh K. Iyer
36
28
0
30 Nov 2021
Towards Fewer Annotations: Active Learning via Region Impurity and
  Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
UQCV
53
90
0
25 Nov 2021
Region-level Active Detector Learning
Region-level Active Detector Learning
Michael Laielli
Giscard Biamby
Dian Chen
Ritwik Gupta
Adam Loeffler
P. Nguyen
R. Luo
Trevor Darrell
Sayna Ebrahimi
ObjD
44
2
0
20 Aug 2021
Oriented R-CNN for Object Detection
Oriented R-CNN for Object Detection
Xingxing Xie
Gong Cheng
Jiabao Wang
Xiwen Yao
Junwei Han
ObjD
143
686
0
12 Aug 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher
End-to-End Semi-Supervised Object Detection with Soft Teacher
Mengde Xu
Zheng Zhang
Han Hu
Jianfeng Wang
Lijuan Wang
Fangyun Wei
X. Bai
Zicheng Liu
58
492
0
16 Jun 2021
Learning High-Precision Bounding Box for Rotated Object Detection via
  Kullback-Leibler Divergence
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang
Xiaojiang Yang
Jirui Yang
Qi Ming
Wentao Wang
Qi Tian
Junchi Yan
84
379
0
03 Jun 2021
Learning Calibrated-Guidance for Object Detection in Aerial Images
Learning Calibrated-Guidance for Object Detection in Aerial Images
Zongqi Wei
Dong Liang
Dong Zhang
Liyan Zhang
Qixiang Geng
Mingqiang Wei
Huiyu Zhou
56
35
0
21 Mar 2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Jiaming Han
Jian Ding
Nan Xue
Guisong Xia
40
529
0
13 Mar 2021
Object Detection in Aerial Images: A Large-Scale Benchmark and
  Challenges
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding
Nan Xue
Guisong Xia
X. Bai
Wen Yang
...
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Lefei Zhang
203
395
0
24 Feb 2021
Adaptive Remote Sensing Image Attribute Learning for Active Object
  Detection
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection
Nuo Xu
Chunlei Huo
Jiacheng Guo
Yiwei Liu
Jian Wang
Chunhong Pan
ObjD
36
4
0
16 Jan 2021
Minimax Active Learning
Minimax Active Learning
Sayna Ebrahimi
William Gan
Dian Chen
Giscard Biamby
Kamyar Salahi
Michael Laielli
Shizhan Zhu
Trevor Darrell
22
26
0
18 Dec 2020
Contextual Diversity for Active Learning
Contextual Diversity for Active Learning
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
81
167
0
13 Aug 2020
Dynamic Refinement Network for Oriented and Densely Packed Object
  Detection
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Xingjia Pan
Yuqiang Ren
Kekai Sheng
Weiming Dong
Haolei Yuan
Xiao-Wei Guo
Chongyang Ma
Changsheng Xu
ObjD
36
277
0
20 May 2020
Reinforced active learning for image segmentation
Reinforced active learning for image segmentation
Arantxa Casanova
Pedro H. O. Pinheiro
Negar Rostamzadeh
C. Pal
35
108
0
16 Feb 2020
Active Learning for Deep Detection Neural Networks
Active Learning for Deep Detection Neural Networks
H. H. Aghdam
Abel Gonzalez-Garcia
Joost van de Weijer
Antonio M. López
VLM
ObjD
70
138
0
20 Nov 2019
Active Learning with Point Supervision for Cost-Effective Panicle
  Detection in Cereal Crops
Active Learning with Point Supervision for Cost-Effective Panicle Detection in Cereal Crops
Amir Soleimani
Sai Vikas Desai
Christof Monz
S. Ninomiya
Wei Guo
75
59
0
04 Oct 2019
Relation Network for Multi-label Aerial Image Classification
Relation Network for Multi-label Aerial Image Classification
Yuansheng Hua
Lichao Mou
Xiaoxiang Zhu
57
86
0
16 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
51
624
0
19 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash
Chicheng Zhang
A. Krishnamurthy
John Langford
Alekh Agarwal
BDL
UQCV
65
762
0
09 Jun 2019
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
63
658
0
09 May 2019
Adversarial Sampling for Active Learning
Adversarial Sampling for Active Learning
Christoph Mayer
Radu Timofte
GAN
109
116
0
20 Aug 2018
Efficient Active Learning for Image Classification and Segmentation
  using a Sample Selection and Conditional Generative Adversarial Network
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
Dwarikanath Mahapatra
Behzad Bozorgtabar
Jean-Philippe Thiran
M. Reyes
GAN
MedIm
67
176
0
14 Jun 2018
Deep learning in remote sensing: a review
Deep learning in remote sensing: a review
Xiaoxiang Zhu
D. Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
58
1,605
0
11 Oct 2017
Generative Adversarial Active Learning
Generative Adversarial Active Learning
Jia Jie Zhu
José Bento
GAN
37
183
0
25 Feb 2017
1