Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes

8 September 2023

Papers citing "Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes"

10 / 10 papers shown

Title
Open-set Anomaly Segmentation in Complex Scenarios Song Xia Yi Yu Henghui Ding Wenhan Yang Shixuan Liu Alex C. Kot Xudong Jiang DiffM 57 0 0 28 Apr 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 85 2 0 04 Mar 2025
Adaptive Neural Networks for Intelligent Data-Driven Development Youssef Shoeb Azarm Nowzad Hanno Gottschalk 71 2 0 14 Feb 2025
Detecting Novelties with Empty Classes Svenja Uhlemeyer Julian Lienen Eyke Hüllermeier Hanno Gottschalk 21 1 0 30 Apr 2023
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects Kira Maag Robin Shing Moon Chan Svenja Uhlemeyer K. Kowol Hanno Gottschalk 40 19 0 05 Oct 2022
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval Huaishao Luo Lei Ji Ming Zhong Yang Chen Wen Lei Nan Duan Tianrui Li CLIP VLM 329 781 0 18 Apr 2021
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 255 3,466 0 21 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015