itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection

31 May 2022

Papers citing "itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection"

8 / 8 papers shown

Title
Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection Chaoqun Wang Xiaobin Hong Wenzhong Li Ruimao Zhang 3DPC 147 0 0 13 Mar 2025
Geometric-aware Pretraining for Vision-centric 3D Object Detection Linyan Huang Huijie Wang J. Zeng Shengchuan Zhang Liujuan Cao Junchi Yan Hongyang Li 3DPC 67 9 0 06 Apr 2023
Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection Linfeng Zhang Yukang Shi Hung-Shuo Tai Zhipeng Zhang Yuan He Ke Wang Kaisheng Ma 18 2 0 14 Nov 2022
Towards Efficient 3D Object Detection with Knowledge Distillation Jihan Yang Shaoshuai Shi Runyu Ding Zhe Wang Xiaojuan Qi 109 45 0 30 May 2022
Object DGCNN: 3D Object Detection using Dynamic Graphs Yue Wang Justin Solomon 3DPC 154 103 0 13 Oct 2021
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 153 737 0 02 Mar 2020
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 14,099 0 02 Dec 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 521 0 21 Sep 2016