Point Transformer V3: Simpler, Faster, Stronger

Point Transformer V3: Simpler, Faster, Stronger

15 December 2023

Peng-Shuai Wang

Xihui Liu

Yu Qiao

Wanli Ouyang

Hengshuang Zhao

Papers citing "Point Transformer V3: Simpler, Faster, Stronger"

8 / 8 papers shown

Title
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding Chengyao Wang Li Jiang Xiaoyang Wu Zhuotao Tian Bohao Peng Hengshuang Zhao Jiaya Jia 3DPC SSL 64 13 0 14 Mar 2024
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning Xiaoyang Wu Xin Wen Xihui Liu Hengshuang Zhao 3DPC 104 23 0 24 Mar 2023
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds Xu Yan Jiantao Gao Chaoda Zheng Chao Zheng Ruimao Zhang Shenghui Cui Zhen Li 3DPC 81 210 0 10 Jul 2022
PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection Guang-Hui Shi Ruifeng Li Chaoxiang Ma 3DPC 56 89 0 16 May 2022
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Ran Cheng Ryan Razani E. Taghavi Enxu Li Bingbing Liu 3DPC 151 239 0 08 Feb 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 128 618 0 21 Jul 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015