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FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models
28 December 2023
Wan Xu
Tianyu Huang
Tianyu Qu
Guanglei Yang
Yiwen Guo
Wangmeng Zuo
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Papers citing
"FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models"
19 / 19 papers shown
Title
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning
In-Ug Yoon
Taehyean Choi
Young-Min Kim
Jong-Hwan Kim
CLL
65
3
0
26 May 2023
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT
3DPC
96
91
0
16 Dec 2022
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang
Liuhui Wang
Yu Qiao
Peng Gao
Hongsheng Li
3DPC
79
134
0
13 Dec 2022
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
Tianyu Huang
Bowen Dong
Yunhan Yang
Xiaoshui Huang
Rynson W. H. Lau
Wanli Ouyang
W. Zuo
VLM
3DPC
CLIP
122
148
0
03 Oct 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
254
258
0
28 May 2022
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang
Wenxiao Wang
Francis E. H. Tay
Wen Liu
Yonghong Tian
Liuliang Yuan
3DPC
ViT
111
477
0
13 Mar 2022
Graph Few-shot Class-incremental Learning
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLL
GNN
82
60
0
23 Dec 2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
142
685
0
29 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
477
7,827
0
11 Nov 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
99
296
0
07 Apr 2021
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Hanchen Wang
Qi Liu
Xiangyu Yue
Joan Lasenby
Matt J. Kusner
3DPC
85
252
0
02 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
274
4,101
0
17 Jun 2020
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
100
412
0
23 Apr 2020
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV
3DPC
110
785
0
13 Aug 2019
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
260
6,177
0
24 Jan 2018
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
305
8,154
0
15 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
500
14,371
0
02 Dec 2016
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
174
5,538
0
09 Dec 2015
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
693
31,553
0
16 Jan 2013
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