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CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric
  Guidance

CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance

18 March 2022
Tianchen Zhao
Niansong Zhang
Xuefei Ning
He Wang
Li Yi
Yu Wang
    3DPC
    ViT
ArXivPDFHTML

Papers citing "CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance"

12 / 12 papers shown
Title
Voxel Transformer for 3D Object Detection
Voxel Transformer for 3D Object Detection
Jiageng Mao
Yujing Xue
Minzhe Niu
Haoyue Bai
Jiashi Feng
Xiaodan Liang
Hang Xu
Chunjing Xu
3DPC
ViT
65
411
0
06 Sep 2021
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See Better
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
45
765
0
28 Jun 2021
CvT: Introducing Convolutions to Vision Transformers
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
ViT
136
1,901
0
29 Mar 2021
DeepViT: Towards Deeper Vision Transformer
DeepViT: Towards Deeper Vision Transformer
Daquan Zhou
Bingyi Kang
Xiaojie Jin
Linjie Yang
Xiaochen Lian
Zihang Jiang
Qibin Hou
Jiashi Feng
ViT
81
518
0
22 Mar 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive
  Biases
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane dÁscoli
Hugo Touvron
Matthew L. Leavitt
Ari S. Morcos
Giulio Biroli
Levent Sagun
ViT
110
824
0
19 Mar 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
59
537
0
19 Nov 2020
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
107
534
0
08 Nov 2019
Density-Aware Convolutional Networks with Context Encoding for Airborne
  LiDAR Point Cloud Classification
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
Xiang Li
Lingjing Wang
Mingyang Wang
Lingjing Wang
Congcong Wen
Yi Fang
3DPC
29
33
0
14 Oct 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
151
2,527
0
18 Apr 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Chris Choy
JunYoung Gwak
Silvio Savarese
3DPC
147
1,780
0
18 Apr 2019
Learning Compact Geometric Features
Learning Compact Geometric Features
Marc Khoury
Qian-Yi Zhou
V. Koltun
3DPC
87
198
0
15 Sep 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC
3DV
451
4,040
0
14 Feb 2017
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