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Sequential Graph Convolutional Network for Active Learning

Sequential Graph Convolutional Network for Active Learning

18 June 2020
Razvan Caramalau
Binod Bhattarai
Tae-Kyun Kim
    GNN
ArXivPDFHTML

Papers citing "Sequential Graph Convolutional Network for Active Learning"

50 / 57 papers shown
Title
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
Esteban Rivera
Surya Prabhakaran
Markus Lienkamp
VLM
174
0
0
01 May 2025
Joint Out-of-Distribution Filtering and Data Discovery Active Learning
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
71
1
0
04 Mar 2025
Towards Comparable Active Learning
Towards Comparable Active Learning
Thorben Werner
Johannes Burchert
Lars Schmidt-Thieme
81
0
0
24 Feb 2025
Image Classification with Deep Reinforcement Active Learning
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu
Xuguang Song
H. Sahbi
Shupan Li
Yan Chen
Wei Guo
Lihua Guo
Mingliang Xu
VLM
29
0
0
31 Dec 2024
Enhancing Modality Representation and Alignment for Multimodal
  Cold-start Active Learning
Enhancing Modality Representation and Alignment for Multimodal Cold-start Active Learning
Meng Shen
Yake Wei
Jianxiong Yin
D. Rajan
D. Hu
Simon See
81
0
0
12 Dec 2024
Integrating Deep Metric Learning with Coreset for Active Learning in 3D
  Segmentation
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
Arvind Murari Vepa
Zukang Yang
Andrew Choi
Jungseock Joo
Fabien Scalzo
Yizhou Sun
3DPC
81
1
0
24 Nov 2024
Active Learning for Vision-Language Models
Active Learning for Vision-Language Models
Bardia Safaei
Vishal M. Patel
VLM
47
2
0
29 Oct 2024
Deep Active Learning with Manifold-preserving Trajectory Sampling
Deep Active Learning with Manifold-preserving Trajectory Sampling
Yingrui Ji
Vijaya Sindhoori Kaza
Nishanth Artham
Tianyang Wang
34
1
0
21 Oct 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
Mucong Ding
Bang An
Yuancheng Xu
Anirudh Satheesh
Furong Huang
27
1
0
03 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy
Kristian Schwethelm
Johannes Kaiser
Jonas Kuntzer
Mehmet Yigitsoy
Daniel Rueckert
Georgios Kaissis
37
0
0
01 Oct 2024
AL-GTD: Deep Active Learning for Gaze Target Detection
AL-GTD: Deep Active Learning for Gaze Target Detection
Francesco Tonini
Nicola Dall’Asen
Lorenzo Vaquero
Cigdem Beyan
Elisa Ricci
26
0
0
27 Sep 2024
Bayesian Active Learning for Semantic Segmentation
Bayesian Active Learning for Semantic Segmentation
Sima Didari
Wenjun Hu
Jae Oh Woo
Heng Hao
Hankyu Moon
Seungjai Min
51
0
0
03 Aug 2024
A Cross-Domain Benchmark for Active Learning
A Cross-Domain Benchmark for Active Learning
M. M. Kholoosi
M. A. Babar
Maximilian Stubbemann
Lars Schmidt-Thieme
43
1
0
01 Aug 2024
Downstream-Pretext Domain Knowledge Traceback for Active Learning
Downstream-Pretext Domain Knowledge Traceback for Active Learning
Beichen Zhang
Liang-Sheng Li
Zheng-Jun Zha
Jiebo Luo
Qingming Huang
41
0
0
20 Jul 2024
A Unified Approach Towards Active Learning and Out-of-Distribution
  Detection
A Unified Approach Towards Active Learning and Out-of-Distribution Detection
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
46
3
0
18 May 2024
CNN2GNN: How to Bridge CNN with GNN
CNN2GNN: How to Bridge CNN with GNN
Ziheng Jiao
Hongyuan Zhang
Xuelong Li
21
1
0
23 Apr 2024
Querying Easily Flip-flopped Samples for Deep Active Learning
Querying Easily Flip-flopped Samples for Deep Active Learning
S. Cho
G. Kim
Junghyun Lee
Jinwoo Shin
Chang D. Yoo
26
6
0
18 Jan 2024
Think Twice Before Selection: Federated Evidential Active Learning for
  Medical Image Analysis with Domain Shifts
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Jiayi Chen
Benteng Ma
Hengfei Cui
Yong-quan Xia
OOD
FedML
29
12
0
05 Dec 2023
Federated Active Learning for Target Domain Generalisation
Federated Active Learning for Target Domain Generalisation
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
OOD
FedML
32
1
0
04 Dec 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
46
22
0
22 Oct 2023
Towards Open World Active Learning for 3D Object Detection
Towards Open World Active Learning for 3D Object Detection
Zhuoxiao Chen
Yadan Luo
Zixin Wang
Zijian Wang
Xin Yu
Zi Huang
32
0
0
16 Oct 2023
Stream-based Active Learning by Exploiting Temporal Properties in
  Perception with Temporal Predicted Loss
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss
Sebastian Schmidt
Stephan Günnemann
17
7
0
11 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive
  Neural Processes
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
37
2
0
11 Sep 2023
Overcoming Overconfidence for Active Learning
Overcoming Overconfidence for Active Learning
Yujin Hwang
Won Jo
Juyoung Hong
Yukyung Choi
14
1
0
21 Aug 2023
Discrepancy-based Active Learning for Weakly Supervised Bleeding
  Segmentation in Wireless Capsule Endoscopy Images
Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images
Fan Bai
Xiaohan Xing
Yutian Shen
Han Ma
Max Q.-H. Meng
MedIm
15
14
0
09 Aug 2023
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion
  Segmentation
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
Fan Bai
K. Yan
Xiaoyu Bai
Xinyu Mao
Xiaoli Yin
Jingren Zhou
Yu Shi
Le Lu
Max Q.-H. Meng
VLM
25
2
0
09 Aug 2023
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for
  Medical Image Segmentation and Classification
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification
Tao Wang
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
T. Tan
Min Du
Qinquan Gao
Tong Tong
23
0
0
29 Jun 2023
Towards Balanced Active Learning for Multimodal Classification
Towards Balanced Active Learning for Multimodal Classification
Meng Shen
Yizheng Huang
Jianxiong Yin
Heqing Zou
D. Rajan
Simon See
21
5
0
14 Jun 2023
Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain
Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain
Liqiang Jing
Xuemeng Song
Xuming Lin
Zhongzhou Zhao
Wei Zhou
Liqiang Nie
33
14
0
05 May 2023
Re-thinking Federated Active Learning based on Inter-class Diversity
Re-thinking Federated Active Learning based on Inter-class Diversity
Sangmook Kim
Sangmin Bae
Hwanjun Song
Se-Young Yun
FedML
33
14
0
22 Mar 2023
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
37
27
0
23 Jan 2023
Active Learning Guided by Efficient Surrogate Learners
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An
Suyeong Park
K. Kim
19
1
0
07 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification
MoBYv2AL: Self-supervised Active Learning for Image Classification
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
Tae-Kyun Kim
SSL
29
7
0
04 Jan 2023
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Siyu Huang
Tianyang Wang
Haoyi Xiong
B. Wen
Jun Huan
Dejing Dou
UQCV
14
6
0
20 Dec 2022
An Empirical Study on the Efficacy of Deep Active Learning for Image
  Classification
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification
Yu Li
Mu-Hwa Chen
Yannan Liu
Daojing He
Qiang Xu
34
9
0
30 Nov 2022
Deep Active Learning for Computer Vision: Past and Future
Deep Active Learning for Computer Vision: Past and Future
Rinyoichi Takezoe
Xu Liu
Shunan Mao
Marco Tianyu Chen
Zhanpeng Feng
Shiliang Zhang
Xiaoyu Wang
VLM
41
19
0
27 Nov 2022
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
25
0
0
24 Nov 2022
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose
  Estimation
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Megh Shukla
Roshan Roy
Pankaj Singh
Shuaib Ahmed
Alexandre Alahi
33
12
0
12 Oct 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-Jia Li
Vijay Narayanan
Xiaoyu Wang
VLM
30
6
0
27 Jul 2022
Active-Learning-as-a-Service: An Automatic and Efficient MLOps System
  for Data-Centric AI
Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI
Yizheng Huang
Huaizheng Zhang
Yuanming Li
C. Lau
Yang You
19
2
0
19 Jul 2022
Deep Active Learning with Noise Stability
Deep Active Learning with Noise Stability
Xingjian Li
Pengkun Yang
Mingkun Xu
Xueying Zhan
Tianyang Wang
Dejing Dou
Chengzhong Xu
UQCV
32
12
0
26 May 2022
Task-Aware Active Learning for Endoscopic Image Analysis
Task-Aware Active Learning for Endoscopic Image Analysis
S. Thapa
Pranav Poudel
Binod Bhattarai
Danail Stoyanov
16
3
0
07 Apr 2022
Active Learning by Feature Mixing
Active Learning by Feature Mixing
Amin Parvaneh
Ehsan Abbasnejad
Damien Teney
Reza Haffari
Anton Van Den Hengel
Javen Qinfeng Shi
32
90
0
14 Mar 2022
Active Learning for Point Cloud Semantic Segmentation via
  Spatial-Structural Diversity Reasoning
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
Feifei Shao
Yawei Luo
Ping Liu
Jie Chen
Yezhou Yang
Yulei Lu
Junhao Xiao
3DPC
24
32
0
25 Feb 2022
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
J. S. K. Yi
Min-seok Seo
Jongchan Park
Dong-Geol Choi
SSL
VLM
32
41
0
19 Jan 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao
Jincheng Zhu
Chengjiang Long
Zeyao Zhang
Yuxin Wang
Z. Du
Xin Yang
43
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
27
33
0
10 Dec 2021
Confidence-Aware Active Feedback for Interactive Instance Search
Confidence-Aware Active Feedback for Interactive Instance Search
Yue Zhang
Chao Liang
Longxiang Jiang
11
0
0
23 Oct 2021
Knowledge-driven Active Learning
Knowledge-driven Active Learning
Gabriele Ciravegna
F. Precioso
Alessandro Betti
Kevin Mottin
Marco Gori
10
2
0
15 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
194
33
0
06 Oct 2021
12
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