Semi-Supervised Active Learning with Temporal Output Discrepancy

29 July 2021

Siyu Huang

Haoyi Xiong

Papers citing "Semi-Supervised Active Learning with Temporal Output Discrepancy"

44 / 44 papers shown

Title
Inconsistency-based Active Learning for LiDAR Object Detection Esteban Rivera Loic Stratil Markus Lienkamp 26 0 0 01 May 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning S. Banerjee Vinay K. Verma SSL 61 0 0 10 Mar 2025
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Leah Bar Boaz Lerner N. Darshan Rami Ben-Ari VLM 75 1 0 03 Dec 2024
Take Your Steps: Hierarchically Efficient Pulmonary Disease Screening via CT Volume Compression Qian Shao Kai Zhang Bang Du Z. Li YiXuan Wu Qiyuan Chen Jian Wu J. Chen Honghao Gao Hongxia Xu 67 0 0 02 Dec 2024
Critic Loss for Image Classification B. Rappazzo Aaron Ferber Carla P. Gomes VLM 23 0 0 23 Sep 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection Qian Shao Jiangrui Kang Qiyuan Chen Zepeng Li Hongxia Xu Yiwen Cao Jiajuan Liang Jian Wu 28 0 0 18 Sep 2024
Downstream-Pretext Domain Knowledge Traceback for Active Learning Beichen Zhang Liang-Sheng Li Zheng-Jun Zha Jiebo Luo Qingming Huang 30 0 0 20 Jul 2024
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations Pradeep Bajracharya J. Q. Toledo-Marín Geoffrey C. Fox S. Jha Linwei Wang AI4CE 45 1 0 10 Jul 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Renhe Jiang Weiping Ding Manabu Okumura 44 20 0 01 May 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning Freddie Bickford-Smith Adam Foster Tom Rainforth 36 3 0 26 Apr 2024
DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query Yuhang Zhang Yuang Deng Xiaopeng Zhang Jie Li Robert C. Qiu Qi Tian ObjD 47 0 0 28 Dec 2023
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
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 Free Data Selection with General-Purpose Models Alessandro Mutti Mingyu Ding Patrizia Semeraro Wei Zhan 31 9 0 29 Sep 2023
ALWOD: Active Learning for Weakly-Supervised Object Detection Yuting Wang Velibor Ilic Jiatong Li B. Kisačanin Vladimir Pavlovic 25 8 0 14 Sep 2023
Confidence Estimation Using Unlabeled Data Chen Li Xiaoling Hu Chao Chen UQCV 23 9 0 19 Jul 2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 23 10 0 17 Jul 2023
REAL: A Representative Error-Driven Approach for Active Learning Cheng Chen Yong Wang Lizi Liao Yueguo Chen Xiaoyong Du 82 2 0 03 Jul 2023
Multi-Task Consistency for Active Learning A. Hekimoglu Philipp Friedrich Walter Zimmer Michael Schmidt Alvaro Marcos-Ramiro Alois C. Knoll VLM 10 10 0 21 Jun 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 Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm Yichen Xie Han Lu Junchi Yan Xiaokang Yang M. Tomizuka Wei Zhan 38 30 0 25 Mar 2023
Best Practices in Active Learning for Semantic Segmentation Sudhanshu Mittal J. Niemeijer Jörg P. Schäfer Thomas Brox VLM 21 14 0 08 Feb 2023
Active learning for medical image segmentation with stochastic batches Mélanie Gaillochet Christian Desrosiers H. Lombaert UQCV 27 20 0 18 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
Combining Self-labeling with Selective Sampling Jedrzej Kozal Michal Wo'zniak 24 3 0 11 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification Razvan Caramalau Binod Bhattarai Danail Stoyanov Tae-Kyun Kim SSL 22 7 0 04 Jan 2023
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
Deep Active Learning for Multi-Label Classification of Remote Sensing Images Lars Möllenbrok Gencer Sumbul Begum Demir 13 8 0 02 Dec 2022
Knowledge-Aware Federated Active Learning with Non-IID Data Yu Cao Ye-ling Shi Baosheng Yu Jingya Wang Dacheng Tao FedML 21 17 0 24 Nov 2022
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning Puzuo Wang W. Yao Jiejing Shao 33 17 0 23 Nov 2022
Oracle-guided Contrastive Clustering Mengdie Wang Liyuan Shang Suyun Zhao Yiming Wang Hong Chen Cuiping Li Xizhao Wang 14 0 0 01 Nov 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 31 13 0 13 Oct 2022
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning Liangyu Chen Yutong Bai Siyu Huang Yongyi Lu B. Wen Alan Yuille Zongwei Zhou 14 23 0 05 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
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization Junkun Yuan Xu Ma Defang Chen Kun Kuang Fei Wu Lanfen Lin 18 25 0 07 Aug 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
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 ObjD VLM 21 19 0 15 Mar 2022
Towards General and Efficient Active Learning Yichen Xie M. Tomizuka Wei Zhan VLM 35 10 0 15 Dec 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang Long Lian Stella X. Yu 191 33 0 06 Oct 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 24 39 0 22 Jun 2021
Towards Robust and Reproducible Active Learning Using Neural Networks Prateek Munjal Nasir Hayat Munawar Hayat J. Sourati Shadab Khan UQCV 17 67 0 21 Feb 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
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015