Dropout Sampling for Robust Object Detection in Open-Set Conditions

18 October 2017

Papers citing "Dropout Sampling for Robust Object Detection in Open-Set Conditions"

34 / 34 papers shown

Title
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 51 0 0 28 Mar 2025
Open-Set Object Detection By Aligning Known Class Representations Hiran Sarkar Vishal M. Chudasama N. Onoe Pankaj Wasnik Vineeth N. Balasubramanian ObjD 44 5 0 31 Dec 2024
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects Zizhao Li Zhengkang Xiang Joseph West Kourosh Khoshelham ObjD VLM 94 1 0 27 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data Aitor Martinez-Seras Javier Del Ser Alain Andres Pablo García Bringas Pablo Garcia-Bringas OODD 40 0 0 07 Nov 2024
Open World Object Detection: A Survey Yiming Li Yi Wang Wenqian Wang Dan Lin Bingbing Li Kim-Hui Yap ObjD 30 0 0 15 Oct 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 38 2 0 08 Sep 2024
YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery Qian Wan Xiang Xiang Qinhao Zhou ObjD 31 0 0 30 Mar 2024
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving Ning Ding Ce Zhang A. Eskandarian 28 10 0 11 May 2023
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Hua Zhang Jingzhi Li Zhongjun Zhou 43 9 0 28 Oct 2022
Learning to Discover and Detect Objects V. Fomenko Ismail Elezi Deva Ramanan Laura Leal-Taixé Aljosa Osep ObjD 25 10 0 19 Oct 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng Caiwen Ding Fei Miao 42 52 0 16 Sep 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 19 2 0 23 Aug 2022
UC-OWOD: Unknown-Classified Open World Object Detection Zhi-zong Wu Yue Lu Xingyu Chen Zhengxing Wu Liwen Kang Junzhi Yu 13 55 0 23 Jul 2022
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation Yusuke Hosoya Masanori Suganuma Takayuki Okatani ObjD 22 2 0 20 Jul 2022
Object Detection as Probabilistic Set Prediction Georg Hess Christoffer Petersson Lennart Svensson 19 5 0 15 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 30 26 0 10 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 32 89 0 08 Mar 2022
Open-set 3D Object Detection Jun Cen Peng Yun Junhao Cai M. Y. Wang Meilin Liu 3DPC 22 37 0 02 Dec 2021
Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather Younkwan Lee Jihyo Jeon Yeongmin Ko B. Jeon M. Jeon 41 26 0 14 Oct 2021
Objects in Semantic Topology Shuo Yang Pei Sun Yi-Xin Jiang Xiaobo Xia Ruiheng Zhang Zehuan Yuan Changhu Wang Ping Luo Min Xu ObjD 83 29 0 06 Oct 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 42 13 0 23 Sep 2021
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection K. Deepshikha Sai Harsha Yelleni P. K. Srijith C.Krishna Mohan BDL UQCV 27 87 0 08 Aug 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 85 33 0 03 Jun 2021
Opening up Open-World Tracking Yang Liu Idil Esen Zulfikar Jonathon Luiten Achal Dave Deva Ramanan Bastian Leibe Aljosa Osep Laura Leal-Taixé 20 51 0 22 Apr 2021
Towards Open World Object Detection K. J. Joseph Salman Khan F. Khan V. Balasubramanian ObjD 19 448 0 03 Mar 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 17 115 0 02 Jan 2021
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 18 221 0 20 Nov 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 22 146 0 03 Sep 2020
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles Hujie Pan Zining Wang Wei Zhan M. Tomizuka UQCV 3DPC 20 27 0 22 Jun 2020
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 11 115 0 09 Mar 2019
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 24 111 0 27 Nov 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf 10 105 0 17 Sep 2018
QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM Lachlan Nicholson Michael Milford Niko Sünderhauf 17 278 0 10 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015