The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

5 April 2019

Roland Siegwart

Papers citing "The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation"

50 / 61 papers shown

Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 161 2 0 04 Mar 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yun Wang C. Zhao 147 3 0 03 Jan 2025
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection Zhongyu Xia Jishuo Li Zhiwei Lin Xinhao Wang Yansen Wang Ming-Hsuan Yang VLM 106 2 0 26 Nov 2024
Odd-One-Out: Anomaly Detection by Comparing with Neighbors A. Bhunia Changjian Li Hakan Bilen 105 0 0 28 Jun 2024
Visualizing Data using GTSNE Songting Shi 30 155 0 03 Aug 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes Giancarlo Di Biase Hermann Blum Roland Siegwart Cesar Cadena UQCV 28 154 0 09 Mar 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 235 843 0 20 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 115 22 0 05 Dec 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 55 101 0 15 Jun 2020
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation Daniel Gehrig Dengxin Dai Luc Van Gool 56 158 0 28 May 2020
A2D2: Audi Autonomous Driving Dataset Jakob Geyer Y. Kassahun Mentar Mahmudi Xavier Ricou Rupesh Durgesh ... M. Sturm Oleksandr Vorobiov Martin Oelker Sebastian Garreis P. Schuberth 3DV 3DPC 57 382 0 14 Apr 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network Joost R. van Amersfoort Lewis Smith Yee Whye Teh Y. Gal UQCV BDL 47 55 0 04 Mar 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 41 649 0 20 Feb 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurelien Chouard Vijaysai Patnaik ... Shuyang Cheng Yu Zhang Jonathon Shlens Zhifeng Chen Dragomir Anguelov 69 2,841 0 10 Dec 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 54 81 0 03 Aug 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 50 291 0 16 Jul 2019
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections R. Y. Rohekar Yaniv Gurwicz Shami Nisimov Gal Novik BDL UQCV 97 13 0 30 May 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 40 176 0 16 Apr 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection Dong Gong Lingqiao Liu Vuong Le Budhaditya Saha M. Mansour Svetha Venkatesh Anton Van Den Hengel UQCV 34 1,254 0 04 Apr 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 231 5,653 0 26 Mar 2019
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding Dengxin Dai Daniel Gehrig Simon Hecker Luc Van Gool 61 140 0 05 Jan 2019
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 58 221 0 30 Nov 2018
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 46 753 0 22 Oct 2018
Fusion++: Volumetric Object-Level SLAM J. McCormac R. Clark Michael Bloesch Andrew J. Davison Stefan Leutenegger 3DH 69 306 0 25 Aug 2018
Discriminative out-of-distribution detection for semantic segmentation Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 61 80 0 23 Aug 2018
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding Daniel Gehrig Dengxin Dai Simon Hecker Luc Van Gool 56 239 0 03 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 111 2,024 0 10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 208 3,110 0 09 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders Stanislav Pidhorskyi Ranya Almohsen Donald Adjeroh Gianfranco Doretto UQCV 37 319 0 06 Jul 2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation Peter R. Florence Lucas Manuelli Russ Tedrake SSL 79 277 0 22 Jun 2018
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 256 1,718 0 06 Jun 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 112 469 0 30 May 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 62 603 0 28 May 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 85 505 0 13 Mar 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 162 907 0 28 Feb 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 91 690 0 25 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 70 584 0 13 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 120 13,005 0 07 Feb 2018
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro SSeg 144 3,926 0 30 Nov 2017
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 84 349 0 28 Nov 2017
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 98 880 0 26 Nov 2017
Distance-based Confidence Score for Neural Network Classifiers Amit Mandelbaum D. Weinshall UQCV 38 111 0 28 Sep 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 230 2,435 0 07 Sep 2017
Semantic Foggy Scene Understanding with Synthetic Data Daniel Gehrig Dengxin Dai Luc Van Gool 86 1,094 0 25 Aug 2017
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes Hassan Abu Alhaija Siva Karthik Mustikovela L. Mescheder Andreas Geiger Carsten Rother 3DPC 50 440 0 04 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 193 5,774 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 98 2,046 0 08 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 263 4,667 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 468 5,748 0 05 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 280 19,560 0 21 Nov 2016