Multi-modal Relation Distillation for Unified 3D Representation Learning

19 July 2024

Papers citing "Multi-modal Relation Distillation for Unified 3D Representation Learning"

8 / 8 papers shown

Title
Rethinking Negative Pairs in Code Search Haochen Li Xin Zhou Anh Tuan Luu Chunyan Miao 27 8 0 12 Oct 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection Anthony Chen Kevin Zhang Renrui Zhang Zihan Wang Yuheng Lu Yandong Guo Shanghang Zhang 3DPC 60 59 0 14 Mar 2023
CyCLIP: Cyclic Contrastive Language-Image Pretraining Shashank Goel Hritik Bansal S. Bhatia Ryan A. Rossi Vishwa Vinay Aditya Grover CLIP VLM 160 131 0 28 May 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Renrui Zhang Ziyu Guo Rongyao Fang Bingyan Zhao Dong Wang Yu Qiao Hongsheng Li Peng Gao 3DPC 156 241 0 28 May 2022
PointCLIP: Point Cloud Understanding by CLIP Renrui Zhang Ziyu Guo Wei Zhang Kunchang Li Xupeng Miao Bin Cui Yu Qiao Peng Gao Hongsheng Li VLM 3DPC 158 428 0 04 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding Jasmine Collins Shubham Goel Kenan Deng Achleshwar Luthra Leon L. Xu ... T. F. Y. Vicente T. Dideriksen H. Arora M. Guillaumin Jitendra Malik 139 216 0 12 Oct 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 131 618 0 21 Jul 2020