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Scalable Active Learning for Object Detection

Scalable Active Learning for Object Detection

9 April 2020
Elmar Haussmann
Michele Fenzi
Kashyap Chitta
J. Ivanecký
Hanson Xu
D. Roy
Akshita Mittel
Nicolas Koumchatzky
C. Farabet
J. Álvarez
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Papers citing "Scalable Active Learning for Object Detection"

14 / 14 papers shown
Title
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
72
139
0
20 Nov 2019
An Adaptive Supervision Framework for Active Learning in Object
  Detection
An Adaptive Supervision Framework for Active Learning in Object Detection
Sai Vikas Desai
Akshay L Chandra
Wei Guo
S. Ninomiya
V. Balasubramanian
44
41
0
07 Aug 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
85
772
0
09 Jun 2019
Training Data Subset Search with Ensemble Active Learning
Training Data Subset Search with Ensemble Active Learning
Kashyap Chitta
J. Álvarez
Elmar Haussmann
C. Farabet
50
13
0
29 May 2019
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Kashyap Chitta
J. Álvarez
Adam Lesnikowski
BDL
UQCV
106
35
0
08 Nov 2018
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy
  Labels
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels
Pengxiang Cheng
Jianwei Feng
M. Hebert
69
17
0
08 Nov 2018
Active Learning for Deep Object Detection
Active Learning for Deep Object Detection
C. Brust
Christoph Käding
Joachim Denzler
VLM
ObjD
48
118
0
26 Sep 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Yonatan Geifman
Guy Uziel
Ran El-Yaniv
UQCV
54
140
0
21 May 2018
Uncertainty Estimation via Stochastic Batch Normalization
Uncertainty Estimation via Stochastic Batch Normalization
Andrei Atanov
Arsenii Ashukha
Dmitry Molchanov
Kirill Neklyudov
Dmitry Vetrov
UQCV
BDL
62
47
0
13 Feb 2018
Localization-Aware Active Learning for Object Detection
Localization-Aware Active Learning for Object Detection
Chieh-Chi Kao
Teng-Yok Lee
P. Sen
Ming-Yuan Liu
ObjD
54
122
0
16 Jan 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
820
5,806
0
05 Dec 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
222
29,808
0
08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
682
36,923
0
08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
813
9,302
0
06 Jun 2015
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