Active Learning for Deep Object Detection via Probabilistic Modeling

30 March 2021

Papers citing "Active Learning for Deep Object Detection via Probabilistic Modeling"

27 / 27 papers shown

Title
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection Esteban Rivera Surya Prabhakaran Markus Lienkamp VLM 168 0 0 01 May 2025
Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection Zengran Wang Yanan Zhang Jiaxin Chen Di Huang 40 0 0 26 Jan 2025
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Tianchi Xie Jiangning Zhu Guozu Ma Minzhi Lin Wei Chen Weikai Yang Shixia Liu 28 0 0 03 Oct 2024
VLMine: Long-Tail Data Mining with Vision Language Models Mao Ye Gregory P. Meyer Zaiwei Zhang Dennis Park Siva Karthik Mustikovela Yuning Chai Eric M. Wolff VLM 31 1 0 23 Sep 2024
MILAN: Milli-Annotations for Lidar Semantic Segmentation Nermin Samet Gilles Puy Oriane Siméoni Renaud Marlet 3DPC 32 0 0 22 Jul 2024
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 21 0 0 28 Sep 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
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 20 16 0 03 Jul 2023
Unbiased Scene Graph Generation in Videos Sayak Nag Kyle Min Subarna Tripathi A. Roy-Chowdhury 29 29 0 03 Apr 2023
MuRAL: Multi-Scale Region-based Active Learning for Object Detection Yi-Syuan Liou Tsung-Han Wu Jia-Fong Yeh Wen-Chin Chen Winston H. Hsu ObjD 19 0 0 29 Mar 2023
Streaming Active Learning with Deep Neural Networks Akanksha Saran Safoora Yousefi A. Krishnamurthy John Langford Jordan T. Ash 32 15 0 05 Mar 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 34 27 0 23 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
Evaluating Zero-cost Active Learning for Object Detection Dominik Probst Hasnain Raza E. Rodner VLM ObjD 32 1 0 08 Dec 2022
Query-based Hard-Image Retrieval for Object Detection at Test Time Edward W. Ayers Jonathan Sadeghi John Redford Romain Mueller P. Dokania 25 1 0 23 Sep 2022
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 25 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 41 19 0 25 Jul 2022
Active Pointly-Supervised Instance Segmentation Chufeng Tang Lingxi Xie Gang Zhang Xiaopeng Zhang Qi Tian Xiaolin Hu ISeg 34 15 0 23 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 24 105 0 25 Mar 2022
Optical Flow Training under Limited Label Budget via Active Learning Shuai Yuan Xian Sun Hannah Kim Shuzhi Yu Carlo Tomasi 15 10 0 09 Mar 2022
Towards General and Efficient Active Learning Yichen Xie M. Tomizuka Wei Zhan VLM 35 10 0 15 Dec 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 52 13 0 23 Sep 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
Deep Mixture Density Network for Probabilistic Object Detection Yihui He Jianren Wang UQCV 39 5 0 24 Nov 2019
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