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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
ArXiv (abs)PDFHTML

Papers citing "Scalable Active Learning for Object Detection"

33 / 33 papers shown
Title
Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting
Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting
Yifei Chen
Ross Greer
24
0
0
10 Jun 2025
Inconsistency-based Active Learning for LiDAR Object Detection
Inconsistency-based Active Learning for LiDAR Object Detection
Esteban Rivera
Loic Stratil
Markus Lienkamp
101
0
0
01 May 2025
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection
Zengran Wang
Yanan Zhang
Jiaxin Chen
Di Huang
94
0
0
26 Jan 2025
FOCAL: A Cost-Aware Video Dataset for Active Learning
FOCAL: A Cost-Aware Video Dataset for Active Learning
Kiran Kokilepersaud
Yash-yee Logan
Ryan Benkert
Chen Zhou
Mohit Prabhushankar
Ghassan AlRegib
Enrique Corona
Kunjan Singh
Mostafa Parchami
77
4
0
17 Nov 2023
Exploiting Counter-Examples for Active Learning with Partial labels
Exploiting Counter-Examples for Active Learning with Partial labels
Fei Zhang
Yunjie Ye
Lei Feng
Zhongwen Rao
Jieming Zhu
Marcus Kalander
Chen Gong
Jianye Hao
Bo Han
67
1
0
14 Jul 2023
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active
  Learning
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning
Wesley Chen
Andrew Edgley
Raunak Hota
Joshua Liu
Ezra Schwartz
Aminah Yizar
Neehar Peri
James M. Purtilo
44
3
0
11 Mar 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Ryan Benkert
Mohit Prabhushankar
Ghassan Al-Regib
Armin Pacharmi
E. Corona
AAML
95
9
0
16 Feb 2023
Towards Rapid Prototyping and Comparability in Active Learning for Deep
  Object Detection
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
Tobias Riedlinger
Marius Schubert
Karsten Kahl
Hanno Gottschalk
Matthias Rottmann
VLMObjD
47
2
0
21 Dec 2022
THMA: Tencent HD Map AI System for Creating HD Map Annotations
THMA: Tencent HD Map AI System for Creating HD Map Annotations
Kun Tang
Xu Cao
Zhipeng Cao
Tongxi Zhou
Erlong Li
...
Shengtao Zou
Chang-ling Liu
Shuqi Mei
Elena Sizikova
Chao Zheng
62
12
0
14 Dec 2022
Query-based Hard-Image Retrieval for Object Detection at Test Time
Query-based Hard-Image Retrieval for Object Detection at Test Time
Edward W. Ayers
Jonathan Sadeghi
John Redford
Romain Mueller
P. Dokania
70
2
0
23 Sep 2022
Boosting Robustness Verification of Semantic Feature Neighborhoods
Boosting Robustness Verification of Semantic Feature Neighborhoods
Anan Kabaha
Dana Drachsler-Cohen
AAML
88
6
0
12 Sep 2022
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking
  System
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System
Tung-Lam Duong
Van-Duc Le
Tien-Cuong Bui
H. To
47
3
0
17 Aug 2022
ALBench: A Framework for Evaluating Active Learning in Object Detection
ALBench: A Framework for Evaluating Active Learning in Object Detection
Zhanpeng Feng
Shiliang Zhang
Rinyoichi Takezoe
Wenze Hu
Manmohan Chandraker
Li Li
Vijay Narayanan
Xiaoyu Wang
VLM
57
6
0
27 Jul 2022
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
113
19
0
25 Jul 2022
Active Pointly-Supervised Instance Segmentation
Active Pointly-Supervised Instance Segmentation
Chufeng Tang
Lingxi Xie
Gang Zhang
Xiaopeng Zhang
Qi Tian
Xiaolin Hu
ISeg
81
15
0
23 Jul 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Xueying Zhan
Zeyu Dai
Qingzhong Wang
Qing Li
Haoyi Xiong
Dejing Dou
Antoni B. Chan
OODD
56
3
0
04 Jul 2022
Design of Supervision-Scalable Learning Systems: Methodology and
  Performance Benchmarking
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking
Yijing Yang
Hongyu Fu
C.-C. Jay Kuo
OOD
66
11
0
18 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
187
334
0
31 May 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedMLHAI
135
113
0
25 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjDVLM
108
19
0
15 Mar 2022
Towards General and Efficient Active Learning
Towards General and Efficient Active Learning
Yichen Xie
Masayoshi Tomizuka
Wei Zhan
VLM
95
10
0
15 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
76
28
0
30 Nov 2021
Knowledge-driven Active Learning
Knowledge-driven Active Learning
Gabriele Ciravegna
F. Precioso
Alessandro Betti
Kevin Mottin
Marco Gori
58
2
0
15 Oct 2021
Influence Selection for Active Learning
Influence Selection for Active Learning
Zhuoming Liu
Hao Ding
Huaping Zhong
Weijia Li
Jifeng Dai
Conghui He
TDI
101
96
0
20 Aug 2021
Weakly-Supervised Object Detection Learning through Human-Robot
  Interaction
Weakly-Supervised Object Detection Learning through Human-Robot Interaction
Elisa Maiettini
V. Tikhanoff
Lorenzo Natale
28
6
0
16 Jul 2021
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training
  Object Detection
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection
Ismail Elezi
Zhiding Yu
Anima Anandkumar
Laura Leal-Taixe
J. Álvarez
ObjD
96
41
0
22 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
91
32
0
09 Jun 2021
Just Label What You Need: Fine-Grained Active Selection for Perception
  and Prediction through Partially Labeled Scenes
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
Sean Segal
Nishanth Kumar
Sergio Casas
Wenyuan Zeng
Mengye Ren
Jingkang Wang
R. Urtasun
89
5
0
08 Apr 2021
Active Learning for Deep Object Detection via Probabilistic Modeling
Active Learning for Deep Object Detection via Probabilistic Modeling
Jiwoong Choi
Ismail Elezi
Hyuk-Jae Lee
C. Farabet
J. Álvarez
76
123
0
30 Mar 2021
Consistency-based Active Learning for Object Detection
Consistency-based Active Learning for Object Detection
Weiping Yu
Sijie Zhu
Taojiannan Yang
Chong Chen
ObjD
91
51
0
18 Mar 2021
Diverse Complexity Measures for Dataset Curation in Self-driving
Diverse Complexity Measures for Dataset Curation in Self-driving
Abbas Sadat
Sean Segal
Sergio Casas
James Tu
Binh Yang
R. Urtasun
Ersin Yumer
83
13
0
16 Jan 2021
From Handheld to Unconstrained Object Detection: a Weakly-supervised
  On-line Learning Approach
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach
Elisa Maiettini
Andrea Maracani
Raffaello Camoriano
Giulia Pasquale
V. Tikhanoff
Lorenzo Rosasco
Lorenzo Natale
39
0
0
28 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
126
227
0
20 Nov 2020
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