Active Learning for Deep Object Detection

26 September 2018

Papers citing "Active Learning for Deep Object Detection"

47 / 47 papers shown

Title
Improved detection of discarded fish species through BoxAL active learning Maria Sokolova P. Blok Angelo Mencarelli Arjan Vroegop Aloysius van Helmond Gert Kootstra 46 1 0 07 Oct 2024
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach Huy V. Vo Vasil Khalidov Timothée Darcet Théo Moutakanni Nikita Smetanin ... Maxime Oquab Armand Joulin Hervé Jégou Patrick Labatut Piotr Bojanowski SSL 161 23 0 24 May 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation Ruiyu Mao Ouyang Xu Yunhui Guo 112 4 0 10 Jan 2024
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection H. Sahbi 81 0 0 28 Dec 2023
Deep Active Learning with Noisy Oracle in Object Detection Marius Schubert Tobias Riedlinger Karsten Kahl Matthias Rottmann ObjD 53 1 0 30 Sep 2023
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling Ke Yu Yuanmin Tang Giulia DeSalvo Suraj Kothawade Abdullah Rashwan S. Tavakkol Kayhan Batmanghelich Xiaoqi Yin ISeg 76 0 0 28 Sep 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion H. Sahbi Sebastien Deschamps 86 0 0 26 Sep 2023
Active Learning for Semantic Segmentation with Multi-class Label Query S. Hwang Sohyun Lee Hoyoung Kim Minhyeon Oh Jungseul Ok Suha Kwak VLM 93 8 0 17 Sep 2023
Classification Committee for Active Deep Object Detection Lei Zhao Yue Liu Xingxing Wei 96 0 0 16 Aug 2023
Active Learning for Object Detection with Non-Redundant Informative Sampling A. Hekimoglu A. Brucker A. Kayalı Michael Schmidt Alvaro Marcos-Ramiro 56 2 0 17 Jul 2023
Multi-Task Consistency for Active Learning A. Hekimoglu Philipp Friedrich Walter Zimmer Michael Schmidt Alvaro Marcos-Ramiro Alois C. Knoll VLM 61 10 0 21 Jun 2023
An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets Po-Yi Lu Yi-Jie Cheng Chun-Liang Li Hsuan-Tien Lin 80 8 0 15 Jun 2023
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation Nermin Samet Oriane Siméoni Gilles Puy Georgy Ponimatkin Renaud Marlet Vincent Lepetit 3DPC 132 4 0 23 Apr 2023
Uncertainty Aware Active Learning for Reconfiguration of Pre-trained Deep Object-Detection Networks for New Target Domains Jiaming Na Varuna De Silva ObjD 106 0 0 22 Mar 2023
Identifying Label Errors in Object Detection Datasets by Loss Inspection Marius Schubert Tobias Riedlinger Karsten Kahl Daniel Kröll S. Schoenen Sinisa Segvic Matthias Rottmann NoLa 87 8 0 13 Mar 2023
Streaming Active Learning with Deep Neural Networks Akanksha Saran Safoora Yousefi A. Krishnamurthy John Langford Jordan T. Ash 72 15 0 05 Mar 2023
Assessing Domain Gap for Continual Domain Adaptation in Object Detection Anh-Dzung Doan Bach Long Nguyen Surabhi Gupta Ian Reid Markus Wagner Tat-Jun Chin TTA 83 4 0 21 Feb 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection H. Sahbi Sebastien Deschamps 50 0 0 28 Dec 2022
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection Tobias Riedlinger Marius Schubert Karsten Kahl Hanno Gottschalk Matthias Rottmann VLM ObjD 47 2 0 21 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 62 0 0 09 Dec 2022
Evaluating Zero-cost Active Learning for Object Detection Dominik Probst Hasnain Raza E. Rodner VLM ObjD 69 1 0 08 Dec 2022
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 88 21 0 27 Nov 2022
Confidence Estimation for Object Detection in Document Images Mélodie Boillet Christopher Kermorvant Thierry Paquet UQCV 70 6 0 29 Aug 2022
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins Ou Zheng Mohamed Abdel-Aty Lishengsa Yue Amr Abdelraouf Zijin Wang Nada Mahmoud 154 130 0 23 Aug 2022
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 Huy V. Vo Oriane Siméoni Spyros Gidaris Andrei Bursuc Patrick Pérez Jean Ponce 113 19 0 25 Jul 2022
An Iterative Labeling Method for Annotating Fisheries Imagery Zhiyong Zhang Pushyami Kaveti Hanumant Singh A. Powell Erica L. Fruh M. E. Clarke 109 0 0 27 Apr 2022
Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint Jiaxi Wu Jiaxin Chen Di Huang 50 66 0 17 Apr 2022
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond Elena Garces Carlos Rodriguez-Pardo Dan Casas Jorge López-Moreno 96 44 0 07 Dec 2021
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
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis Sumit Shekhar Bhanu Prakash Reddy Guda Ashutosh Chaubey Ishan Jindal Avanish Jain 55 0 0 01 Oct 2021
Region-level Active Detector Learning Michael Laielli Giscard Biamby Dian Chen Ritwik Gupta Adam Loeffler P. Nguyen R. Luo Trevor Darrell Sayna Ebrahimi ObjD 56 3 0 20 Aug 2021
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning Javad Zolfaghari Bengar Bogdan Raducanu Joost van de Weijer 56 10 0 30 Jul 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 126 58 0 29 Apr 2021
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation Zejiang Shen Jian Zhao Melissa Dell Yaoliang Yu Weining Li 32 2 0 05 Oct 2020
Mask-guided sample selection for Semi-Supervised Instance Segmentation Míriam Bellver Amaia Salvador Jordi Torres Xavier Giró-i-Nieto ISeg 53 5 0 25 Aug 2020
MCAL: Minimum Cost Human-Machine Active Labeling Hang Qiu Krishna Chintalapudi Ramesh Govindan 70 3 0 24 Jun 2020
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey Akshay L Chandra Sai Vikas Desai W. Guo V. Balasubramanian 65 49 0 18 Jun 2020
Minimizing Supervision in Multi-label Categorization Rajat Munender Varshney Pravendra Singh Vinay P. Namboodi 37 2 0 26 May 2020
Scalable Active Learning for Object Detection Elmar Haussmann Michele Fenzi Kashyap Chitta J. Ivanecký Hanson Xu D. Roy Akshita Mittel Nicolas Koumchatzky C. Farabet J. Álvarez 59 110 0 09 Apr 2020
Active and Incremental Learning with Weak Supervision C. Brust Christoph Käding Joachim Denzler CLL 49 18 0 20 Jan 2020
Active Learning for Deep Detection Neural Networks H. H. Aghdam Abel Gonzalez-Garcia Joost van de Weijer Antonio M. López VLM ObjD 95 140 0 20 Nov 2019
LOST: A flexible framework for semi-automatic image annotation Jonas Jäger Gereon Reus Joachim Denzler Viviane Wolff K. Fricke-Neuderth VLM 40 2 0 16 Oct 2019
Organization of machine learning based product development as per ISO 26262 and ISO/PAS 21448 Krystian Radlak Michal Szczepankiewicz Tim Jones Piotr Serwa 34 1 0 07 Oct 2019
Active Learning with Point Supervision for Cost-Effective Panicle Detection in Cereal Crops Amir Soleimani Sai Vikas Desai Christof Monz S. Ninomiya Wei Guo 103 60 0 04 Oct 2019
Temporal Coherence for Active Learning in Videos Javad Zolfaghari Bengar Abel Gonzalez-Garcia Gabriel Villalonga Bogdan Raducanu H. H. Aghdam M. Mozerov Antonio M. López Joost van de Weijer 66 46 0 30 Aug 2019
An Adaptive Supervision Framework for Active Learning in Object Detection Sai Vikas Desai Akshay L Chandra Wei Guo S. Ninomiya V. Balasubramanian 100 41 0 07 Aug 2019