3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds

23 July 2022

A. Alliegro

Francesco Cappio Borlino

Papers citing "3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds"

50 / 51 papers shown

Title
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder Mana Masuda Ryo Hachiuma Ryoske Fujii Hideo Saito Yusuke Sekikawa 3DPC DRL 26 21 0 07 Apr 2023
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Xu Ma Can Qin Haoxuan You Haoxi Ran Y. Fu 3DPC 36 589 0 15 Feb 2022
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions Jiachen Sun Qingzhao Zhang B. Kailkhura Zhiding Yu Chaowei Xiao Z. Morley Mao 3DPC 51 88 0 28 Jan 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 76 68 0 31 Dec 2021
Open-set 3D Object Detection Jun Cen Peng Yun Junhao Cai M. Y. Wang Meilin Liu 3DPC 40 38 0 02 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 68 467 0 24 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 262 902 0 21 Oct 2021
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano 40 15 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 213 418 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 228 339 0 01 Oct 2021
Semantically Coherent Out-of-Distribution Detection Jingkang Yang Haoqi Wang Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang Ziwei Liu OODD 64 128 0 26 Aug 2021
Detecting Anomalies in Semantic Segmentation with Prototypes Dario Fontanel Fabio Cermelli Massimiliano Mancini Barbara Caputo UQCV 50 13 0 01 Jun 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang Chaoyi Zhang Yang Song Jianhui Yu Weidong (Tom) Cai 3DPC 169 283 0 04 May 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 57 215 0 07 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 55 336 0 22 Mar 2021
Adversarial Reciprocal Points Learning for Open Set Recognition Guangyao Chen Peixi Peng Xiangqian Wang Yonghong Tian 80 288 0 01 Mar 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Dogyoon Lee Jaeha Lee Junhyeop Lee Hyeongmin Lee Minhyeok Lee Sungmin Woo Sangyoun Lee 3DPC 165 75 0 03 Feb 2021
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud Mutian Xu Junhao Zhang Zhipeng Zhou Mingye Xu Xiaojuan Qi Yu Qiao 3DPC 85 135 0 20 Dec 2020
PCT: Point cloud transformer Meng-Hao Guo Junxiong Cai Zheng-Ning Liu Tai-Jiang Mu Ralph Robert Martin Shimin Hu ViT 3DPC 114 1,599 0 17 Dec 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 89 65 0 30 Nov 2020
Learning Open Set Network with Discriminative Reciprocal Points Guangyao Chen Limeng Qiao Yemin Shi Peixi Peng Jia Li Tiejun Huang Shiliang Pu Yonghong Tian UQCV EDL 32 191 0 31 Oct 2020
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification Ayush Bhardwaj Sakshee Pimpale S. Kumar Biplab Banerjee 3DPC 24 14 0 25 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 208 1,332 0 08 Oct 2020
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows Marco Rudolph Bastian Wandt Bodo Rosenhahn UQCV 28 328 0 28 Aug 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 36 595 0 16 Jul 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 38 136 0 26 Jun 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 120 4,505 0 23 Apr 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges A. Alliegro Davide Boscaini Tatiana Tommasi 3DPC SSL 43 42 0 15 Apr 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification Jianwen Xie Yifei Xu Zilong Zheng Song-Chun Zhu Ying Nian Wu 3DPC 105 80 0 02 Apr 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 110 185 0 27 Mar 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 92 190 0 06 Mar 2020
Novelty Detection Via Blurring Sung-Ik Choi Sae-Young Chung UQCV 28 36 0 27 Nov 2019
Identifying Unknown Instances for Autonomous Driving K. Wong Shenlong Wang Mengye Ren Ming Liang R. Urtasun 89 110 0 24 Oct 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 36 166 0 14 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Mikaela Angelina Uy Quang Pham Binh-Son Hua D. Nguyen Sai-Kit Yeung 3DV 3DPC 67 773 0 13 Aug 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 128 717 0 07 Jun 2019
P-ODN: Prototype based Open Deep Network for Open Set Recognition Yu Shu Yemin Shi Yaowei Wang Tiejun Huang Yonghong Tian 41 63 0 06 May 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan 3DPC 90 888 0 16 Apr 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 114 1,468 0 11 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 113 2,024 0 10 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 98 432 0 04 Jul 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition Haobo Wang Yitong Wang Zheng Zhou Xing Ji Dihong Gong Jin Zhou Zhifeng Li Wei Liu CVBM MQ 114 2,488 0 29 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 225 6,102 0 24 Jan 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 199 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 100 2,054 0 08 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 281 11,000 0 07 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 103 3,420 0 07 Oct 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 185 3,681 0 26 May 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 88 5,482 0 09 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 495 27,231 0 02 Dec 2015