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State-Relabeling Adversarial Active Learning

State-Relabeling Adversarial Active Learning

10 April 2020
Beichen Zhang
Liang Li
Shijie Yang
Shuhui Wang
Zhengjun Zha
Qingming Huang
ArXivPDFHTML

Papers citing "State-Relabeling Adversarial Active Learning"

19 / 19 papers shown
Title
Exploring Active 3D Object Detection from a Generalization Perspective
Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo
Zhuoxiao Chen
Zijian Wang
Xin Yu
Zi Huang
Mahsa Baktash
3DPC
29
26
0
23 Jan 2023
Responsible Active Learning via Human-in-the-loop Peer Study
Responsible Active Learning via Human-in-the-loop Peer Study
Yu Cao
Jingya Wang
Baosheng Yu
Dacheng Tao
17
0
0
24 Nov 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
33
19
0
25 Jul 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
26
1
0
23 May 2022
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in
  Semantic Segmentation
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation
Daehan Kim
Min-seok Seo
Jinsun Park
Dong-Geol Choi
TTA
32
3
0
30 Apr 2022
Learning Distinctive Margin toward Active Domain Adaptation
Learning Distinctive Margin toward Active Domain Adaptation
Ming-Kun Xie
Yuxi Li
Yabiao Wang
Zekun Luo
Zhenye Gan
Zhongyi Sun
M. Chi
Chengjie Wang
Pei Wang
23
31
0
11 Mar 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for
  Federated Learning
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
J. Ahn
Yeeun Ma
Seoyun Park
Cheolwoo You
FedML
37
22
0
01 Feb 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao
Jincheng Zhu
Chengjiang Long
Zeyao Zhang
Yuxin Wang
Z. Du
Xin Yang
37
13
0
11 Dec 2021
Boosting Active Learning via Improving Test Performance
Boosting Active Learning via Improving Test Performance
Tianyang Wang
Xingjian Li
Pengkun Yang
Guosheng Hu
Xiangrui Zeng
Siyu Huang
Chengzhong Xu
Min Xu
25
33
0
10 Dec 2021
Single-Modal Entropy based Active Learning for Visual Question Answering
Single-Modal Entropy based Active Learning for Visual Question Answering
Dong-Jin Kim
Jae-Won Cho
Jinsoo Choi
Yunjae Jung
In So Kweon
25
12
0
21 Oct 2021
Real-Time Learning from An Expert in Deep Recommendation Systems with
  Marginal Distance Probability Distribution
Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution
A. Mahyari
P. Pirolli
Jacqueline A. LeBlanc
14
0
0
12 Oct 2021
Reducing Label Effort: Self-Supervised meets Active Learning
Reducing Label Effort: Self-Supervised meets Active Learning
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
VLM
16
60
0
25 Aug 2021
Field-Guide-Inspired Zero-Shot Learning
Field-Guide-Inspired Zero-Shot Learning
Utkarsh Mall
Bharath Hariharan
Kavita Bala
VLM
33
7
0
24 Aug 2021
Shallow Feature Matters for Weakly Supervised Object Localization
Shallow Feature Matters for Weakly Supervised Object Localization
Junhang Wei
Qin Wang
Zhen Li
Sheng Wang
S.Kevin Zhou
Shuguang Cui
WSOL
23
89
0
02 Aug 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy
Semi-Supervised Active Learning with Temporal Output Discrepancy
Siyu Huang
Tianyang Wang
Haoyi Xiong
Jun Huan
Dejing Dou
UQCV
22
66
0
29 Jul 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae-Won Cho
Dong-Jin Kim
Yunjae Jung
In So Kweon
14
46
0
23 Jul 2021
Multiple instance active learning for object detection
Multiple instance active learning for object detection
Tianning Yuan
Fang Wan
Mengying Fu
Jianzhuang Liu
Songcen Xu
Xiangyang Ji
QiXiang Ye
WSOD
22
120
0
06 Apr 2021
Consistency-based Active Learning for Object Detection
Consistency-based Active Learning for Object Detection
Weiping Yu
Sijie Zhu
Taojiannan Yang
C. L. P. Chen
ObjD
20
50
0
18 Mar 2021
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
285
9,136
0
06 Jun 2015
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