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UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes

22 November 2022

Papers citing "UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes"

27 / 27 papers shown

Title
Exploiting Explanations for Model Inversion Attacks Xu Zhao Wencan Zhang Xiao Xiao Brian Y. Lim MIACV 77 84 0 26 Apr 2021
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection Jihan Yang Shaoshuai Shi Zhe Wang Hongsheng Li Xiaojuan Qi 3DPC 61 189 0 09 Mar 2021
Deep Feature Augmentation for Occluded Image Classification Feng Cen Xiaoyu Zhao Wuzhuang Li Guanghui Wang 83 58 0 02 Nov 2020
Feature Space Augmentation for Long-Tailed Data Peng Chu Xiao Bian Shaopeng Liu Haibin Ling 89 242 0 09 Aug 2020
One Thousand and One Hours: Self-driving Motion Prediction Dataset J. Houston G. Zuidhof Luca Bergamini Yawei Ye Long Chen Ashesh Jain Sammy Omari V. Iglovikov Peter Ondruska 92 367 0 25 Jun 2020
UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 54 229 0 05 Jun 2020
Quantifying Data Augmentation for LiDAR based 3D Object Detection Martin Hahner Dengxin Dai Alexander Liniger Luc Van Gool 3DPC 64 49 0 03 Apr 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 183 1,452 0 29 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 160 3,572 0 21 Jan 2020
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection Shaoshuai Shi Chaoxu Guo Li Jiang Zhe Wang Jianping Shi Xiaogang Wang Hongsheng Li 3DPC 100 1,781 0 31 Dec 2019
SESS: Self-Ensembling Semi-Supervised 3D Object Detection Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 56 125 0 26 Dec 2019
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 147 2,902 0 10 Dec 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 64 85 0 09 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 258 3,502 0 30 Sep 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 59 189 0 18 Sep 2019
Revealing Scenes by Inverting Structure from Motion Reconstructions Francesco Pittaluga S. Koppal S. B. Kang Sudipta N. Sinha 3DPC 53 127 0 05 Apr 2019
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud Shaoshuai Shi Xiaogang Wang Hongsheng Li 3DPC 182 2,414 0 11 Dec 2018
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 57 100 0 08 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 710 0 03 Dec 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 69 605 0 14 Oct 2018
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection Yin Zhou Oncel Tuzel 3DPC 118 3,731 0 17 Nov 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 135 3,774 0 15 Aug 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,738 0 13 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,360 0 02 Dec 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 312 4,657 0 18 Oct 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 187 2,567 0 07 Oct 2016
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 131 1,967 0 26 Nov 2014