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Typicalness-Aware Learning for Failure Detection

4 November 2024

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Papers citing "Typicalness-Aware Learning for Failure Detection"

21 / 21 papers shown

Title
Unified Language-driven Zero-shot Domain Adaptation Senqiao Yang Zhuotao Tian Li Jiang Jiaya Jia 79 9 0 10 Apr 2024
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding Senqiao Yang Jiaming Liu Ray Zhang Mingjie Pan Zoey Guo Xiaoqi Li Zehui Chen Peng Gao Yandong Guo Shanghang Zhang 3DV 85 67 0 21 Dec 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 58 36 0 30 Mar 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation Bohao Peng Zhuotao Tian Xiaoyang Wu Chenyao Wang Shu Liu Jingyong Su Jiaya Jia 111 77 0 26 Mar 2023
Learning Context-aware Classifier for Semantic Segmentation Zhuotao Tian Jiequan Cui Li Jiang Xiaojuan Qi Xin Lai Yixin Chen Shu Liu Jiaya Jia 127 24 0 21 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 86 41 0 06 Mar 2023
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 45 29 0 15 Jul 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 220 285 0 19 May 2022
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask Xiaoliu Luo Zhuotao Tian Taiping Zhang Bei Yu Yuan Yan Tang Jiaya Jia 91 39 0 28 Sep 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 387 6,768 0 23 Dec 2020
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 183 1,434 0 14 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 657 41,103 0 22 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,356 0 08 Oct 2020
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 195 1,950 0 06 Jun 2019
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art J. Janai Fatma Guney Aseem Behl Andreas Geiger 116 795 0 18 Apr 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 158 3,454 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,813 0 25 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 340 7,985 0 23 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 2016
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks Ian Goodfellow Yaroslav Bulatov Julian Ibarz Sacha Arnoud Vinay D. Shet 97 720 0 20 Dec 2013
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 138 2,674 0 14 Nov 2013