Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning

5 July 2021

Papers citing "Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning"

48 / 48 papers shown

Title
Hard-Label Black-Box Attacks on 3D Point Clouds Daizong Liu Yunbo Tao Pan Zhou Wei Hu 3DPC 69 0 0 30 Nov 2024
SAM-Guided Masked Token Prediction for 3D Scene Understanding Zhimin Chen Liang Yang Yingwei Li Longlong Jing Bing Li 32 3 0 16 Oct 2024
Hyperbolic Image-and-Pointcloud Contrastive Learning for 3D Classification Naiwen Hu Haozhe Cheng Yifan Xie Pengcheng Shi Jihua Zhu 3DPC 36 0 0 24 Sep 2024
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning Kunming Su Qiuxia Wu Panpan Cai Xiaogang Zhu Xuequan Lu Zhiyong Wang Kun Hu 3DPC 36 2 0 31 Aug 2024
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud Ayumu Saito Prachi Kudeshia Jiju Poovvancheri 3DPC 42 7 0 25 Apr 2024
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning Souhail Hadgi Lei Li M. Ovsjanikov 30 0 0 26 Mar 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning Junseok Park Yoonsung Kim Hee Bin Yoo Min Whoo Lee Kibeom Kim Won-Seok Choi Minsu Lee Byoung-Tak Zhang OffRL 40 1 0 11 Mar 2024
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder Zhimin Chen Yingwei Li Longlong Jing Liang Yang Bing Li 3DPC 33 9 0 17 Nov 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking Yang Yu Qi Liu Kai Zhang Yuren Zhang Chao Song Min Hou Yuqing Yuan Zhihao Ye Zaixin Zhang Sanshi Lei Yu 35 2 0 15 Oct 2023
Adaptive Multi-head Contrastive Learning Lei Wang Piotr Koniusz Tom Gedeon Liang Zheng 35 4 0 09 Oct 2023
MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization Tao Chen Zexiong Lin Hui Li Jiayi Ji Yiyi Zhou Guanbin Li Rongrong Ji 19 0 0 22 Aug 2023
Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillation T. Furuya Zhoujie Chen Ryutarou Ohbuchi Zhenzhong Kuang 3DPC 26 2 0 09 Aug 2023
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers Ioannis Romanelis Vlassis Fotis Konstantinos Moustakas Adrian Munteanu ViT 3DPC 21 4 0 19 Jun 2023
Asymmetric Patch Sampling for Contrastive Learning Chen Shen Jianzhong Chen Shu Wang Hulin Kuang Jin Liu Jianxin Wang SSL 33 4 0 05 Jun 2023
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models Zhimin Chen Longlong Jing Yingwei Li Bing Li 29 31 0 15 May 2023
Self-Supervised Learning for Point Clouds Data: A Survey Changyu Zeng Wei Wang A. Nguyen Yutao Yue 3DPC 36 0 0 09 May 2023
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning Jiaze Sun Zhixiang Chen Tae-Kyun Kim 3DPC 3DH SSL 17 0 0 26 Apr 2023
PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point Clouds Yun-Hai Liu Xu Yan Zhilei Chen Zhiqi Li Zeyong Wei Mingqiang Wei 3DPC 27 2 0 23 Mar 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment Yiqing Zhang Xinming Huang Ziming Zhang 36 4 0 21 Mar 2023
ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion S. Hong Mohsen Yavartanoo Reyhaneh Neshatavar Kyoung Mu Lee 3DPC 38 12 0 02 Mar 2023
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping Srikanth Malla Yi-Ting Chen 3DPC 19 1 0 28 Feb 2023
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information Xin Li Mingqiang Wei Songcan Chen 3DPC SSL 32 3 0 30 Jan 2023
PointVST: Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation Qijian Zhang Junhui Hou 3DPC 22 9 0 29 Dec 2022
ALSO: Automotive Lidar Self-supervision by Occupancy estimation Alexandre Boulch Corentin Sautier Bjoern Michele Gilles Puy Renaud Marlet SSL 3DPC 19 54 0 12 Dec 2022
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding Honggu Zhou Xiaogang Peng Jiawei Mao Zizhao Wu Ming Zeng 3DPC 14 3 0 22 Nov 2022
Learning Latent Part-Whole Hierarchies for Point Clouds Xiang Gao Wei Hu Renjie Liao 3DPC 35 0 0 14 Nov 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning Yabin Zhang Jiehong Lin Ruihuang Li Kui Jia Lei Zhang 3DPC 22 6 0 13 Nov 2022
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds Zhuheng Lu Yuewei Dai Weiqing Li Zhiyong Su 3DPC 22 4 0 02 Nov 2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding Guofeng Mei Cristiano Saltori Fabio Poiesi Jian Zhang Elisa Ricci N. Sebe Qiang Wu 3DPC 59 5 0 06 Oct 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 44 31 0 21 Sep 2022
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence Lei Li Souhaib Attaiki M. Ovsjanikov 19 8 0 16 Sep 2022
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering Dasith de Silva Edirimuni Xuequan Lu Gang Li A. Robles-Kelly 3DPC 48 13 0 14 Aug 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing Daizong Liu Wei Hu Xin Li AAML 3DPC 28 15 0 27 Jul 2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning Yabin Zhang Jiehong Lin Chenhang He Y. Chen Kui Jia Lei Zhang 3DPC 21 19 0 07 Jul 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data Corentin Sautier Gilles Puy Spyros Gidaris Alexandre Boulch Andrei Bursuc Renaud Marlet 3DPC 20 117 0 30 Mar 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning Cheng Zhang Jian Shi X. Deng Zizhao Wu 3DPC 27 8 0 21 Mar 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding Mohamed Afham Isuru Dissanayake Dinithi Dissanayake Amaya Dharmasiri Kanchana Thilakarathna Ranga Rodrigo 3DPC 16 251 0 01 Mar 2022
Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey Aoran Xiao Jiaxing Huang Dayan Guan Xiaoqin Zhang Shijian Lu Ling Shao 3DPC 18 71 0 28 Feb 2022
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning Mingye Xu Yali Wang Zhipeng Zhou Hongbin Xu Yu Qiao 3DPC 13 13 0 20 Jan 2022
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data Jincen Jiang Xuequan Lu Wanli Ouyang Meiling Wang 3DPC 14 7 0 13 Oct 2021
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views Zhizhong Han Xiyang Wang Yu-Shen Liu Matthias Zwicker 101 9 0 08 Aug 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,430 0 04 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 141 622 0 21 Jul 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 117 193 0 18 Oct 2019
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 118 158 0 28 Nov 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 171 1,940 0 24 Oct 2016