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DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object
  Detection

DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection

2 July 2024
Kaixin Xu
Qingtian Feng
Hao Chen
Zhe Wang
Xue Geng
Xulei Yang
Min-man Wu
Xiaoli Li
Weisi Lin
ArXivPDFHTML

Papers citing "DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection"

8 / 8 papers shown
Title
TorchSparse++: Efficient Training and Inference Framework for Sparse
  Convolution on GPUs
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs
Haotian Tang
Shang Yang
Zhijian Liu
Ke Hong
Zhongming Yu
Xiuyu Li
Guohao Dai
Yu Wang
Song Han
52
21
0
25 Oct 2023
CP$^3$: Channel Pruning Plug-in for Point-based Networks
CP3^33: Channel Pruning Plug-in for Point-based Networks
Yaomin Huang
Ning Liu
Zhengping Che
Zhiyuan Xu
Chaomin Shen
Yaxin Peng
Guixu Zhang
Xinmei Liu
Feifei Feng
Jian Tang
3DPC
23
14
0
23 Mar 2023
Not All Neighbors Are Worth Attending to: Graph Selective Attention
  Networks for Semi-supervised Learning
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning
Tiantian He
Haicang Zhou
Yew-Soon Ong
Gao Cong
GNN
39
4
0
14 Oct 2022
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
Jianhui Liu
Yukang Chen
Xiaoqing Ye
Zhuotao Tian
Xiao Tan
Xiaojuan Qi
3DPC
115
32
0
28 Sep 2022
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Jiajun Deng
Shaoshuai Shi
Pei-Cian Li
Wen-gang Zhou
Yanyong Zhang
Houqiang Li
3DPC
216
835
0
31 Dec 2020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D
  Vehicle Detection from Point Cloud
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
Hongwei Yi
Shaoshuai Shi
Mingyu Ding
Jiankai Sun
Kui Xu
Hui Zhou
Zhe Wang
Sheng Li
Guoping Wang
3DPC
78
56
0
13 Feb 2020
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
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
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
190
519
0
21 Sep 2016
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