Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost

16 October 2019

Tomas Pfister

Papers citing "Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost"

36 / 36 papers shown

Title
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation Jianghang Lin Yilin Lu Yunhang Shen Chaoyang Zhu Shengchuan Zhang Liujuan Cao Rongrong Ji ISeg 26 0 0 16 May 2025
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning David Aparco-Cardenas Jancarlo F. Gomes Alexandre X. Falcão Pedro J. de Rezende 46 0 0 25 Apr 2025
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model Kyeongjin Ahn Sungwon Han Sungwon Park Jihee Kim Sangyoon Park Meeyoung Cha 30 2 0 12 Jun 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 42 1 0 13 Feb 2024
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
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 28 10 0 17 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 34 0 0 07 Jul 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 33 10 0 16 Jun 2023
Active Teacher for Semi-Supervised Object Detection Peng Mi Jianghang Lin Yiyi Zhou Yunhang Shen Gen Luo Xiaoshuai Sun Liujuan Cao Rongrong Fu Qiang Xu Rongrong Ji 52 61 0 15 Mar 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 31 26 0 23 Jan 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation Mélanie Gaillochet Christian Desrosiers H. Lombaert 19 11 0 16 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification Razvan Caramalau Binod Bhattarai Danail Stoyanov Tae-Kyun Kim SSL 27 7 0 04 Jan 2023
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection Zhenyu Wu Lin Wang Wen Wang Qing Xia Chenglizhao Chen Aimin Hao Shuo Li AAML 41 5 0 13 Dec 2022
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification Yu Li Mu-Hwa Chen Yannan Liu Daojing He Qiang Xu 31 9 0 30 Nov 2022
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models Yichao Zhou James Bradley Wendt Navneet Potti Jing Xie Sandeep Tata VLM 32 1 0 28 Oct 2022
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification Shafa Balaram C. Nguyen Ashraf Kassim Pavitra Krishnaswamy EDL 10 11 0 05 Sep 2022
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning F. Buchert Nassir Navab Seong Tae Kim 27 6 0 25 Jul 2022
Active Learning Strategies for Weakly-supervised Object Detection Huy V. Vo Oriane Siméoni Spyros Gidaris Andrei Bursuc Patrick Pérez Jean Ponce 41 19 0 25 Jul 2022
Black-box Generalization of Machine Teaching Xiaofeng Cao Yaming Guo Ivor W. Tsang James T. Kwok 28 0 0 30 Jun 2022
Penalizing Proposals using Classifiers for Semi-Supervised Object Detection S. Hazra P. Dasgupta 33 0 0 26 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 27 26 0 10 May 2022
Feeding What You Need by Understanding What You Learned Xiaoqiang Wang Bang Liu Fangli Xu Bowei Long Siliang Tang Lingfei Wu 57 6 0 05 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation Wenqiao Zhang Lei Zhu James Hallinan A. Makmur Shengyu Zhang Qingpeng Cai Beng Chin Ooi 30 79 0 04 Mar 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 24 185 0 05 Feb 2022
Optimizing Active Learning for Low Annotation Budgets Umang Aggarwal Adrian Daniel Popescu C´eline Hudelot 30 1 0 18 Jan 2022
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples Yi Xu Jiandong Ding Lu Zhang Shuigeng Zhou 36 32 0 26 Oct 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 19 14 0 25 Jun 2021
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 30 39 0 22 Jun 2021
Visual Transformer for Task-aware Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim ViT 10 11 0 07 Jun 2021
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang Cheng Chen ObjD 22 50 0 18 Mar 2021
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 29 23 0 19 Oct 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 21 294 0 09 Jun 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 199 243 0 14 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015