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Self-supervised Learning by View Synthesis

Self-supervised Learning by View Synthesis

22 April 2023
Shaoteng Liu
Xiangyu Zhang
T. Hu
Jiaya Jia
    3DV
    ViT
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Papers citing "Self-supervised Learning by View Synthesis"

50 / 58 papers shown
Title
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
93
395
0
07 Feb 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
143
668
0
16 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
236
2,358
0
02 Dec 2021
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Qi Dai
Han Hu
185
1,352
0
18 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
81
734
0
15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
460
7,739
0
11 Nov 2021
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life
  3D Category Reconstruction
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
Jeremy Reizenstein
Roman Shapovalov
Philipp Henzler
L. Sbordone
Patrick Labatut
David Novotny
3DPC
3DV
127
465
0
01 Sep 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
260
2,824
0
15 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
277
5,025
0
31 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
685
6,066
0
29 Apr 2021
Pri3D: Can 3D Priors Help 2D Representation Learning?
Pri3D: Can 3D Priors Help 2D Representation Learning?
Ji Hou
Saining Xie
Benjamin Graham
Angela Dai
Matthias Nießner
SSL
3DPC
MDE
118
80
0
22 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
154
1,862
0
05 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
447
21,418
0
25 Mar 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
386
1,564
0
27 Feb 2021
How to represent part-whole hierarchies in a neural network
How to represent part-whole hierarchies in a neural network
Geoffrey E. Hinton
OCL
MoE
76
203
0
25 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
527
3,722
0
24 Feb 2021
ShaRF: Shape-conditioned Radiance Fields from a Single View
ShaRF: Shape-conditioned Radiance Fields from a Single View
Konstantinos Rematas
Ricardo Martín Brualla
V. Ferrari
82
111
0
17 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
194
2,897
0
31 Dec 2020
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
384
6,762
0
23 Dec 2020
Pre-Trained Image Processing Transformer
Pre-Trained Image Processing Transformer
Hanting Chen
Yunhe Wang
Tianyu Guo
Chang Xu
Yiping Deng
Zhenhua Liu
Siwei Ma
Chunjing Xu
Chao Xu
Wen Gao
VLM
ViT
134
1,676
0
01 Dec 2020
MVTN: Multi-View Transformation Network for 3D Shape Recognition
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Abdullah Hamdi
Silvio Giancola
Guohao Li
3DV
3DPC
87
203
0
26 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
253
4,052
0
20 Nov 2020
Point Transformer
Point Transformer
Nico Engel
Vasileios Belagiannis
Klaus C. J. Dietmayer
3DPC
173
1,990
0
02 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
637
41,003
0
22 Oct 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
216
5,073
0
08 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
366
6,797
0
13 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
755
41,932
0
28 May 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
385
13,035
0
26 May 2020
From Image Collections to Point Clouds with Self-supervised Shape and
  Pose Networks
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
K. L. Navaneet
Ansu Mathew
Shashank Kashyap
Wei-Chih Hung
Varun Jampani
R. Venkatesh Babu
3DPC
42
36
0
05 May 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
B. Mildenhall
Pratul P. Srinivasan
Matthew Tancik
Jonathan T. Barron
R. Ramamoorthi
Ren Ng
129
2,595
0
19 Mar 2020
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
Xueting Li
Sifei Liu
Kihwan Kim
Shalini De Mello
Varun Jampani
Ming-Hsuan Yang
Jan Kautz
3DV
65
148
0
13 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
364
18,752
0
13 Feb 2020
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH
3DV
69
995
0
16 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
199
12,074
0
13 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
221
3,485
0
30 Sep 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
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
88
778
0
13 Aug 2019
Learning to Predict 3D Objects with an Interpolation-based
  Differentiable Renderer
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Wenzheng Chen
Jun Gao
Huan Ling
Edward James Smith
J. Lehtinen
Alec Jacobson
Sanja Fidler
3DH
3DV
80
362
0
03 Aug 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
166
2,399
0
13 Jun 2019
What Do Single-view 3D Reconstruction Networks Learn?
What Do Single-view 3D Reconstruction Networks Learn?
Maxim Tatarchenko
Stephan R. Richter
René Ranftl
Zhuwen Li
V. Koltun
Thomas Brox
3DV
50
427
0
09 May 2019
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Shichen Liu
Tianye Li
Weikai Chen
Hao Li
3DV
85
694
0
03 Apr 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
236
2,897
0
10 Dec 2018
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Eldar Insafutdinov
Alexey Dosovitskiy
3DPC
66
244
0
22 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,770
0
11 Oct 2018
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape
  Classification
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification
Song-Le Chen
Lintao Zheng
Yan Zhang
Zhixin Sun
Kai Xu
3DPC
3DV
67
74
0
20 Aug 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
173
3,452
0
05 May 2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Nanyang Wang
Yinda Zhang
Zhuwen Li
Yanwei Fu
Wen Liu
Yu-Gang Jiang
3DV
113
1,328
0
05 Apr 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
228
2,443
0
23 Jan 2018
Neural 3D Mesh Renderer
Neural 3D Mesh Renderer
Hiroharu Kato
Yoshitaka Ushiku
Tatsuya Harada
3DV
73
1,045
0
20 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
226
5,008
0
02 Nov 2017
Large Batch Training of Convolutional Networks
Large Batch Training of Convolutional Networks
Yang You
Igor Gitman
Boris Ginsburg
ODL
128
848
0
13 Aug 2017
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