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DINOv2: Learning Robust Visual Features without Supervision

DINOv2: Learning Robust Visual Features without Supervision

14 April 2023
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
Vasil Khalidov
Pierre Fernandez
Daniel Haziza
Francisco Massa
Alaaeldin El-Nouby
Mahmoud Assran
Nicolas Ballas
Wojciech Galuba
Russ Howes
Po-Yao (Bernie) Huang
Shang-Wen Li
Ishan Misra
Michael G. Rabbat
Vasu Sharma
Gabriel Synnaeve
Huijiao Xu
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
    VLM
    CLIP
    SSL
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Papers citing "DINOv2: Learning Robust Visual Features without Supervision"

44 / 2,194 papers shown
Title
ONE-PEACE: Exploring One General Representation Model Toward Unlimited
  Modalities
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
Peng Wang
Shijie Wang
Junyang Lin
Shuai Bai
Xiaohuan Zhou
Jingren Zhou
Xinggang Wang
Chang Zhou
VLM
MLLM
ObjD
48
115
0
18 May 2023
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with
  Foundation Models
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Zhimin Chen
Longlong Jing
Yingwei Li
Bing Li
32
31
0
15 May 2023
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
Haixin Wang
Xinlong Yang
Jianlong Chang
Di Jin
Jinan Sun
Shikun Zhang
Xiao Luo
Qi Tian
33
23
0
15 May 2023
CLImage: Human-Annotated Datasets for Complementary-Label Learning
CLImage: Human-Annotated Datasets for Complementary-Label Learning
Hsiu-Hsuan Wang
Tan-Ha Mai
Nai-Xuan Ye
Weiliang Lin
Hsuan-Tien Lin
39
1
0
15 May 2023
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT
  Beyond Language
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
Zhaoyang Liu
Yinan He
Wenhai Wang
Weiyun Wang
Yi Wang
...
Yali Wang
Limin Wang
Ping Luo
Jifeng Dai
Yu Qiao
LRM
MLLM
38
79
0
09 May 2023
Towards Applying Powerful Large AI Models in Classroom Teaching:
  Opportunities, Challenges and Prospects
Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects
Kehui Tan
Tianqi Pang
Chenyou Fan
Song Yu
27
13
0
05 May 2023
AttentionViz: A Global View of Transformer Attention
AttentionViz: A Global View of Transformer Attention
Catherine Yeh
Yida Chen
Aoyu Wu
Cynthia Chen
Fernanda Viégas
Martin Wattenberg
ViT
33
52
0
04 May 2023
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised
  Semantic Segmentation
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang
Yuqi Yang
VLM
28
29
0
02 May 2023
Learnable Ophthalmology SAM
Learnable Ophthalmology SAM
Zhongxi Qiu
Yan Hu
Heng Li
Jiang-Dong Liu
VLM
MedIm
32
24
0
26 Apr 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDa
FedML
SSL
50
274
0
24 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Yongcheng Jing
Xinchao Wang
Dacheng Tao
52
21
0
23 Apr 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and
  Autonomous Practicing
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
Kyle Stachowicz
Dhruv Shah
Arjun Bhorkar
Ilya Kostrikov
Sergey Levine
OffRL
38
26
0
19 Apr 2023
Very high resolution canopy height maps from RGB imagery using
  self-supervised vision transformer and convolutional decoder trained on
  Aerial Lidar
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar
James M. Tolan
Hung-I Yang
Ben Nosarzewski
Guillaume Couairon
Huy Q. Vo
...
Piotr Bojanowski
T. Johns
Brian White
T. Tiecke
Camille Couprie
39
90
0
14 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao
Kai Han
Kwan-Yee K. Wong
48
16
0
14 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
29
7
0
12 Apr 2023
Exploring Effective Factors for Improving Visual In-Context Learning
Exploring Effective Factors for Improving Visual In-Context Learning
Yanpeng Sun
Qiang Chen
Jian Wang
Jingdong Wang
Zechao Li
LRM
VLM
51
24
0
10 Apr 2023
ERM++: An Improved Baseline for Domain Generalization
ERM++: An Improved Baseline for Domain Generalization
Piotr Teterwak
Kuniaki Saito
Theodoros Tsiligkaridis
Kate Saenko
Bryan A. Plummer
OOD
44
9
0
04 Apr 2023
PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor
PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor
Vidit Goel
E. Peruzzo
Yi Ding
Dejia Xu
Xingqian Xu
N. Sebe
Trevor Darrell
Zhangyang Wang
Humphrey Shi
DiffM
30
6
0
30 Mar 2023
The effectiveness of MAE pre-pretraining for billion-scale pretraining
The effectiveness of MAE pre-pretraining for billion-scale pretraining
Mannat Singh
Quentin Duval
Kalyan Vasudev Alwala
Haoqi Fan
Vaibhav Aggarwal
...
Piotr Dollár
Christoph Feichtenhofer
Ross B. Girshick
Rohit Girdhar
Ishan Misra
LRM
126
63
0
23 Mar 2023
Multi-granularity Interaction Simulation for Unsupervised Interactive
  Segmentation
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
Kehan Li
Yian Zhao
Zhennan Wang
Ze-Long Cheng
Peng Jin
Xiang Ji
Li-ming Yuan
Chang-rui Liu
Jie Chen
27
9
0
23 Mar 2023
ViC-MAE: Self-Supervised Representation Learning from Images and Video
  with Contrastive Masked Autoencoders
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders
J. Hernandez
Ruben Villegas
Vicente Ordonez
SSL
33
2
0
21 Mar 2023
Object-Centric Slot Diffusion
Object-Centric Slot Diffusion
Jindong Jiang
Fei Deng
Gautam Singh
S. Ahn
DiffM
BDL
OCL
25
57
0
20 Mar 2023
Preventing Unauthorized AI Over-Analysis by Medical Image Adversarial
  Watermarking
Preventing Unauthorized AI Over-Analysis by Medical Image Adversarial Watermarking
Xingxing Wei
Bangzheng Pu
Shiji Zhao
Chen Chi
Huazhu Fu
MedIm
22
1
0
17 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
33
100
0
13 Mar 2023
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale
  Attention
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang
Wei Chen
Qibo Qiu
Long Chen
Boxi Wu
Binbin Lin
Xiaofei He
Wei Liu
32
38
0
13 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for
  Out-of-Distribution Detection
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Nikolas Adaloglou
Félix D. P. Michels
Tim Kaiser
M. Kollmann
VLM
37
0
0
10 Mar 2023
Efficient Masked Autoencoders with Self-Consistency
Efficient Masked Autoencoders with Self-Consistency
Zhaowen Li
Yousong Zhu
Zhiyang Chen
Wei Li
Chaoyang Zhao
Rui Zhao
Ming Tang
Jinqiao Wang
53
2
0
28 Feb 2023
Internet Explorer: Targeted Representation Learning on the Open Web
Internet Explorer: Targeted Representation Learning on the Open Web
Alexander C. Li
Ellis L Brown
Alexei A. Efros
Deepak Pathak
VLM
24
24
0
27 Feb 2023
From paintbrush to pixel: A review of deep neural networks in
  AI-generated art
From paintbrush to pixel: A review of deep neural networks in AI-generated art
Anne-Sofie Maerten
Derya Soydaner
37
23
0
14 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of
  Generative Models Using Samples
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
Marco Jiralerspong
A. Bose
I. Gemp
Chongli Qin
Yoram Bachrach
Gauthier Gidel
EGVM
32
5
0
09 Feb 2023
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for
  Robust 6D Pose Estimation
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
Guangyao Zhou
Nishad Gothoskar
Lirui Wang
J. Tenenbaum
Dan Gutfreund
Miguel Lazaro-Gredilla
Dileep George
Vikash K. Mansinghka
3DV
BDL
17
2
0
07 Feb 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
31
126
0
13 Jan 2023
Deep Learning Technique for Human Parsing: A Survey and Outlook
Deep Learning Technique for Human Parsing: A Survey and Outlook
Lu Yang
Wenhe Jia
Shane Li
Q. Song
ViT
48
17
0
01 Jan 2023
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know
  How to Reason?
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?
Monika Wysoczañska
Tom Monnier
Tomasz Trzciñski
David Picard
ReLM
OCL
40
1
0
20 Dec 2022
Location-Aware Self-Supervised Transformers for Semantic Segmentation
Location-Aware Self-Supervised Transformers for Semantic Segmentation
Mathilde Caron
N. Houlsby
Cordelia Schmid
ViT
24
12
0
05 Dec 2022
CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote
  Aggregation
CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation
Yang You
Wenhao He
Jin Liu
Hongkai Xiong
Weiming Wang
Cewu Lu
3DPC
33
4
0
24 Nov 2022
Trade-off Between Efficiency and Consistency for Removal-based
  Explanations
Trade-off Between Efficiency and Consistency for Removal-based Explanations
Yifan Zhang
Haowei He
Zhiyuan Tan
Yang Yuan
FAtt
41
3
0
31 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
16
0
0
12 Oct 2022
Light-weight probing of unsupervised representations for Reinforcement
  Learning
Light-weight probing of unsupervised representations for Reinforcement Learning
Wancong Zhang
Anthony GX-Chen
Vlad Sobal
Yann LeCun
Nicolas Carion
SSL
OffRL
41
13
0
25 Aug 2022
On the Viability of Monocular Depth Pre-training for Semantic
  Segmentation
On the Viability of Monocular Depth Pre-training for Semantic Segmentation
Dong Lao
Fengyu Yang
Daniel Wang
Hyoungseob Park
Samuel Lu
Alex Wong
Stefano Soatto
MDE
26
0
0
26 Mar 2022
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
320
7,457
0
11 Nov 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
368
5,811
0
29 Apr 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
253
645
0
21 Apr 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
298
39,217
0
01 Sep 2014
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