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Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
v1v2v3 (latest)

Large-Scale Visual Active Learning with Deep Probabilistic Ensembles

8 November 2018
Kashyap Chitta
J. Álvarez
Adam Lesnikowski
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Visual Active Learning with Deep Probabilistic Ensembles"

21 / 21 papers shown
Title
Integrating Deep Metric Learning with Coreset for Active Learning in 3D
  Segmentation
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationNeural Information Processing Systems (NeurIPS), 2024
Arvind Murari Vepa
Zukang Yang
Andrew Choi
Jungseock Joo
Fabien Scalzo
Yizhou Sun
3DPC
293
6
0
24 Nov 2024
Gaussian Mixture based Evidential Learning for Stereo Matching
Gaussian Mixture based Evidential Learning for Stereo Matching
Weide Liu
Xingxing Wang
Lu Wang
Jun Cheng
Fayao Liu
Xulei Yang
228
0
0
05 Aug 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
244
7
0
26 Apr 2024
ELFNet: Evidential Local-global Fusion for Stereo Matching
ELFNet: Evidential Local-global Fusion for Stereo MatchingIEEE International Conference on Computer Vision (ICCV), 2023
Jieming Lou
Weide Liu
Zhu Chen
Fayao Liu
Jun Cheng
221
35
0
01 Aug 2023
Looking at the posterior: accuracy and uncertainty of neural-network
  predictions
Looking at the posterior: accuracy and uncertainty of neural-network predictions
Hampus Linander
Oleksandr Balabanov
Henry Yang
Bernhard Mehlig
UQCVUDBDL
241
2
0
26 Nov 2022
Warm Start Active Learning with Proxy Labels \& Selection via
  Semi-Supervised Fine-Tuning
Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-TuningInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
V. Nath
Dong Yang
H. Roth
Daguang Xu
183
29
0
13 Sep 2022
Active Learning Strategies for Weakly-supervised Object Detection
Active Learning Strategies for Weakly-supervised Object DetectionEuropean Conference on Computer Vision (ECCV), 2022
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
280
22
0
25 Jul 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
508
502
0
31 May 2022
When Deep Learners Change Their Mind: Learning Dynamics for Active
  Learning
When Deep Learners Change Their Mind: Learning Dynamics for Active LearningInternational Conference on Computer Analysis of Images and Patterns (CAIP), 2021
Javad Zolfaghari Bengar
Bogdan Raducanu
Joost van de Weijer
131
11
0
30 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDLUQCVOOD
527
1,474
0
07 Jul 2021
Active Learning for Deep Object Detection via Probabilistic Modeling
Active Learning for Deep Object Detection via Probabilistic ModelingIEEE International Conference on Computer Vision (ICCV), 2021
Jiwoong Choi
Ismail Elezi
Hyuk-Jae Lee
C. Farabet
J. Álvarez
207
135
0
30 Mar 2021
Diminishing Uncertainty within the Training Pool: Active Learning for
  Medical Image Segmentation
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2020
V. Nath
Dong Yang
Bennett A. Landman
Daguang Xu
H. Roth
212
82
0
07 Jan 2021
Interactive Weak Supervision: Learning Useful Heuristics for Data
  Labeling
Interactive Weak Supervision: Learning Useful Heuristics for Data LabelingInternational Conference on Learning Representations (ICLR), 2020
Benedikt Boecking
Willie Neiswanger
Eric Xing
A. Dubrawski
NoLaOffRL
347
75
0
11 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAMLUQCVEDL
308
282
0
20 Nov 2020
A Survey of Deep Active Learning
A Survey of Deep Active LearningACM Computing Surveys (ACM CSUR), 2020
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
376
1,328
0
30 Aug 2020
Scalable Active Learning for Object Detection
Scalable Active Learning for Object Detection
Elmar Haussmann
Michele Fenzi
Kashyap Chitta
J. Ivanecký
Hanson Xu
D. Roy
Akshita Mittel
Nicolas Koumchatzky
C. Farabet
J. Álvarez
139
116
0
09 Apr 2020
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
ViewAL: Active Learning with Viewpoint Entropy for Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2019
Yawar Siddiqui
Julien P. C. Valentin
Matthias Nießner
251
178
0
26 Nov 2019
Rethinking deep active learning: Using unlabeled data at model training
Rethinking deep active learning: Using unlabeled data at model trainingInternational Conference on Pattern Recognition (ICPR), 2019
Oriane Siméoni
Mateusz Budnik
Yannis Avrithis
G. Gravier
HAI
217
86
0
19 Nov 2019
Temporal Coherence for Active Learning in Videos
Temporal Coherence for Active Learning in Videos
Javad Zolfaghari Bengar
Abel Gonzalez-Garcia
Gabriel Villalonga
Bogdan Raducanu
H. H. Aghdam
M. Mozerov
Antonio M. López
Joost van de Weijer
126
50
0
30 Aug 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
183
13
0
29 May 2019
Deep Active Learning for Efficient Training of a LiDAR 3D Object
  Detector
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
Di Feng
Xiao Wei
Lars Rosenbaum
A. Maki
Klaus C. J. Dietmayer
3DPC
156
93
0
29 Jan 2019
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