Towards Class-agnostic Tracking Using Feature Decorrelation in Point
Clouds

Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds

28 February 2022

Jun Liu

Papers citing "Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds"

6 / 6 papers shown

Title
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions Xiantong Zhao Xiuping Liu Shengjing Tian Yinan Han 39 0 0 13 Jan 2025
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack Shengjing Tian Yinan Han Xiantong Zhao Bin Liu Xiuping Liu AAML 23 0 0 28 Oct 2024
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds Xiantong Zhao Yinan Han Shengjing Tian Jian Liu Xiuping Liu 3DPC 18 2 0 16 Oct 2022
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 422 0 17 Feb 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016