ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2506.14130
  4. Cited By
KDMOS:Knowledge Distillation for Motion Segmentation

KDMOS:Knowledge Distillation for Motion Segmentation

17 June 2025
Chunyu Cao
Jintao Cheng
Zeyu Chen
Linfan Zhan
Rui Fan
Zhijian He
Xiaoyu Tang
ArXiv (abs)PDFHTML

Papers citing "KDMOS:Knowledge Distillation for Motion Segmentation"

7 / 7 papers shown
Title
Logit Standardization in Knowledge Distillation
Logit Standardization in Knowledge Distillation
Shangquan Sun
Wenqi Ren
Jingzhi Li
Rui Wang
Xiaochun Cao
103
73
0
03 Mar 2024
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving
  Object Segmentation
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
Jiadai Sun
Yuchao Dai
Xianjing Zhang
Jintao Xu
Rui Ai
Weihao Gu
Xieyuanli Chen
3DPC
148
72
0
05 Jul 2022
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D
  Convolutions
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions
Benedikt Mersch
Xieyuanli Chen
Ignacio Vizzo
Lucas Nunes
Jens Behley
C. Stachniss
3DPC
85
80
0
08 Jun 2022
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
Yuenan Hou
Xinge Zhu
Yuexin Ma
Chen Change Loy
Yikang Li
3DPC
97
165
0
05 Jun 2022
Automatic Labeling to Generate Training Data for Online LiDAR-based
  Moving Object Segmentation
Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation
Xieyuanli Chen
Benedikt Mersch
Lucas Nunes
Rodrigo Marcuzzi
Ignacio Vizzo
Jens Behley
C. Stachniss
3DPC
87
78
0
12 Jan 2022
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach
  Exploiting Sequential Data
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data
Xieyuanli Chen
Shijie Li
Benedikt Mersch
Louis Wiesmann
Jurgen Gall
Jens Behley
C. Stachniss
3DPC
72
184
0
19 May 2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR
  Segmentation
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
Xinge Zhu
Hui Zhou
Tai Wang
Fangzhou Hong
Yuexin Ma
Wei Li
Hongsheng Li
Dahua Lin
3DPC
69
539
0
19 Nov 2020
1