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Towards Class-agnostic Tracking Using Feature Decorrelation in Point
  Clouds

Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds

28 February 2022
Shengjing Tian
Jun Liu
Xiuping Liu
    3DPC
ArXivPDFHTML

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

4 / 4 papers shown
Title
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack
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
SWAD: Domain Generalization by Seeking Flat Minima
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
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
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
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