Two Video Data Sets for Tracking and Retrieval of Out of Distribution
Objects

Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects

5 October 2022

Robin Shing Moon Chan

Svenja Uhlemeyer

Hanno Gottschalk

Papers citing "Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects"

18 / 18 papers shown

Title
Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection Daniel Bogdoll Rajanikant Ananta Abeyankar Giridharan Isabel Moore Gregory Stevens Henry X. Liu VLM 51 0 0 30 Apr 2025
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data Hauke Sandhaus Angel Hsing-Chi Hwang Wendy Ju Qian Yang 22 1 0 10 Apr 2025
A Dataset for Semantic Segmentation in the Presence of Unknowns Zakaria Laskar Tomás Vojír Matej Grcic Iaroslav Melekhov Shankar Gangisettye Arno Solin Jirí Matas Giorgos Tolias C.V. Jawahar UQCV 46 0 0 28 Mar 2025
Adaptive Neural Networks for Intelligent Data-Driven Development Youssef Shoeb Azarm Nowzad Hanno Gottschalk 68 2 0 14 Feb 2025
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation Samuel Marschall Kira Maag 82 1 0 22 Dec 2024
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection Zhongyu Xia Jishuo Li Zhiwei Lin Xinhao Wang Yixuan Wang Ming-Hsuan Yang VLM 74 2 0 26 Nov 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving Daniel Bogdoll Iramm Hamdard Lukas Namgyu Rößler Felix Geisler Muhammed Bayram ... Miguel de Campos Anushervon Tabarov Yitian Yang Hanno Gottschalk J. Marius Zöllner 39 5 0 13 May 2024
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook Mingyu Liu Ekim Yurtsever Jonathan Fossaert Xingcheng Zhou Walter Zimmer Yuning Cui B. L. Žagar Alois C. Knoll 59 36 0 02 Jan 2024
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes Youssef Shoeb Robin Shing Moon Chan Gesina Schwalbe Azarm Nowzard Fatma Guney Hanno Gottschalk 11 6 0 08 Sep 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 21 4 0 22 May 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation Kira Maag Tobias Riedlinger UQCV 38 7 0 13 Mar 2023
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey Daniel Bogdoll Svenja Uhlemeyer K. Kowol J. Marius Zöllner 30 19 0 06 Feb 2023
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets Daniel Bogdoll Jonas Hendl Felix Schreyer Nisha S. Gowda Michael Färber J. Marius Zöllner 24 4 0 05 Jan 2023
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data Matej Grcić Petra Bevandić Zoran Kalafatić Sinivsa vSegvić 21 10 0 23 Dec 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 195 3,531 0 20 Aug 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
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 261 36,371 0 25 Aug 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