Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance

21 November 2022

Papers citing "Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance"

22 / 22 papers shown

Title
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation Antonio Santo J. J. Cabrera David Valiente C. Viegas Arturo Gil 3DPC 3DV 67 2 0 03 Jun 2024
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 75 806 0 03 Oct 2023
Few-shot 3D Point Cloud Semantic Segmentation Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 88 107 0 22 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 77 533 0 25 May 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 43 156 0 02 Apr 2020
Proxy Anchor Loss for Deep Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 46 354 0 31 Mar 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
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds Qingyong Hu Bo Yang Linhai Xie Stefano Rosa Yulan Guo Zhihua Wang A. Trigoni Andrew Markham 3DPC 76 1,480 0 25 Nov 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian Lei Shang Baigui Sun Juhua Hu Hao Li Rong Jin 31 373 0 11 Sep 2019
Progressive LiDAR Adaptation for Road Detection Zhe Chen Jing Zhang Dacheng Tao 35 151 0 02 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 228 5,653 0 26 Mar 2019
Infinite Mixture Prototypes for Few-Shot Learning Kelsey R. Allen Evan Shelhamer Hanul Shin J. Tenenbaum 28 246 0 12 Feb 2019
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 158 1,172 0 27 Jun 2018
Deep Face Recognition: A Survey Mei Wang Weihong Deng NoLa 88 1,223 0 18 Apr 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 191 4,035 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 152 1,235 0 10 Nov 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 44 636 0 21 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 207 8,072 0 15 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 284 7,286 0 13 Jun 2016
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 70 1,641 0 19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 264 13,079 0 12 Mar 2015
Learning Fine-grained Image Similarity with Deep Ranking Jiang Wang Yang Song Thomas Leung C. Rosenberg Jingbin Wang James Philbin Bo Chen Ying Nian Wu SSL 72 1,315 0 17 Apr 2014