FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models

FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models

28 December 2023

Wangmeng Zuo

Papers citing "FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models"

5 / 5 papers shown

Title
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 171 241 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 164 428 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 258 7,337 0 11 Nov 2021
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 14,047 0 02 Dec 2016
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013