Monte Carlo DropBlock for Modelling Uncertainty in Object Detection

Monte Carlo DropBlock for Modelling Uncertainty in Object Detection

8 August 2021

Sai Harsha Yelleni

C.Krishna Mohan

Papers citing "Monte Carlo DropBlock for Modelling Uncertainty in Object Detection"

13 / 13 papers shown

Title
An End-to-End Real-World Camera Imaging Pipeline Kepeng Xu Zijia Ma Li Xu Gang He Yunsong Li Wenxin Yu Taichu Han Cheng Yang 66 6 0 16 Nov 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
Segmenting Medical Images with Limited Data Zhaoshan Liua Qiujie Lv Chau Hung Lee L. Shen 41 11 0 12 Jul 2024
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection Junfei Yi Jianxu Mao Tengfei Liu Mingjie Li Hanyu Gu Hui Zhang Xiaojun Chang Yaonan Wang 34 2 0 11 Jun 2024
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments Yang Yang Wenhai Wang Zhe Chen Jifeng Dai Liang Zheng 41 2 0 20 Mar 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction Alexander Timans C. Straehle K. Sakmann Eric T. Nalisnick 26 6 0 12 Mar 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects Florian Bley Sebastian Lapuschkin Wojciech Samek G. Montavon 16 2 0 30 Jan 2024
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling Léo Andéol Thomas Fel F. D. Grancey Luca Mossina 10 11 0 12 Apr 2023
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 39 13 0 01 Feb 2023
Conformal Prediction for Trustworthy Detection of Railway Signals Léo Andéol Thomas Fel F. D. Grancey Luca Mossina 19 5 0 26 Jan 2023
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss Yannik Blei Nicolas Jourdan Nils Gählert OODD 9 3 0 01 Sep 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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015