Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift

5 September 2024

Papers citing "Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift"

35 / 35 papers shown

Title
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time Huaxiu Yao Caroline Choi Bochuan Cao Yoonho Lee Pang Wei Koh Chelsea Finn OOD 71 77 0 25 Nov 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 178 5,213 0 10 Jan 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 50 53 0 29 Nov 2021
Covariate Shift in High-Dimensional Random Feature Regression Nilesh Tripuraneni Ben Adlam Jeffrey Pennington OOD 45 24 0 16 Nov 2021
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider Willie Neiswanger 77 72 0 21 Sep 2021
Objects are Different: Flexible Monocular 3D Object Detection Yunpeng Zhang Jiwen Lu Jie Zhou 3DPC 69 258 0 06 Apr 2021
Active Learning for Deep Object Detection via Probabilistic Modeling Jiwoong Choi Ismail Elezi Hyuk-Jae Lee C. Farabet J. Álvarez 66 123 0 30 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 463 21,564 0 25 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 225 1,445 0 14 Dec 2020
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 98 226 0 20 Nov 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 75 539 0 12 Mar 2020
Canadian Adverse Driving Conditions Dataset Matthew A. Pitropov D. Garcia Jason Rebello Michael H. W. Smart Carlos Wang Krzysztof Czarnecki Steven Waslander 71 223 0 27 Jan 2020
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 123 629 0 05 Dec 2019
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 115 5,061 0 20 Nov 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 195 2,242 0 05 Jul 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 183 1,702 0 06 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 153 18,179 0 28 May 2019
Uncertainty Estimation in One-Stage Object Detection Florian Kraus Klaus C. J. Dietmayer UQCV 60 83 0 24 May 2019
CenterNet: Keypoint Triplets for Object Detection Kaiwen Duan S. Bai Lingxi Xie H. Qi Qingming Huang Q. Tian NoLa 119 2,698 0 17 Apr 2019
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving Jiwoong Choi Dayoung Chun Hyun Kim Hyuk-Jae Lee 77 402 0 09 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 191 3,452 0 28 Mar 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 301 5,779 0 26 Mar 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 98 905 0 18 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 121 1,726 0 13 Feb 2019
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 201 636 0 01 Jul 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 204 19,333 0 13 Jan 2018
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 124 1,451 0 09 Oct 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 363 27,244 0 20 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,719 0 15 Mar 2017
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video Esteban Real Jonathon Shlens S. Mazzocchi Xin Pan Vincent Vanhoucke VOS ObjD 95 534 0 02 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 227 2,334 0 21 Mar 2016
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 246 29,871 0 08 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 852 9,346 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 460 7,667 0 03 Jul 2012