Point2Seq: Detecting 3D Objects as Sequences

Point2Seq: Detecting 3D Objects as Sequences

25 March 2022

Hang Xu

Wei Zhang

Papers citing "Point2Seq: Detecting 3D Objects as Sequences"

10 / 10 papers shown

Title
Refining the ONCE Benchmark with Hyperparameter Tuning Maksim Golyadkin Alexander Gambashidze Ildar Nurgaliev Ilya Makarov 31 1 0 10 Nov 2023
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds Honghui Yang Tong He Jiaheng Liu Huaguan Chen Boxi Wu Binbin Lin Xiaofei He Wanli Ouyang 51 58 0 06 Dec 2022
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection Hu Su Yonghao He Rui Jiang Jiabin Zhang W. Zou Bin Fan 16 23 0 01 Aug 2022
Object DGCNN: 3D Object Detection using Dynamic Graphs Yue Wang Justin Solomon 3DPC 157 104 0 13 Oct 2021
Pix2seq: A Language Modeling Framework for Object Detection Ting-Li Chen Saurabh Saxena Lala Li David J. Fleet Geoffrey E. Hinton MLLM ViT VLM 241 344 0 22 Sep 2021
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 231 842 0 31 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu Yiding Yang Xinchao Wang 161 112 0 10 Dec 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 157 226 0 23 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 156 737 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