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MultiGrain: a unified image embedding for classes and instances
v1v2 (latest)

MultiGrain: a unified image embedding for classes and instances

14 February 2019
Maxim Berman
Edouard Grave
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
ArXiv (abs)PDFHTML

Papers citing "MultiGrain: a unified image embedding for classes and instances"

33 / 83 papers shown
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People
  Tracking Benchmark
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
Xiaotian Han
Quanzeng You
Chunyu Wang
Zhizheng Zhang
Peng Chu
Houdong Hu
Jiang Wang
Zicheng Liu
275
34
0
30 Nov 2021
Self-Distilled Self-Supervised Representation Learning
Self-Distilled Self-Supervised Representation Learning
Jiho Jang
Seonhoon Kim
Kiyoon Yoo
Chaerin Kong
Jang-Hyun Kim
Nojun Kwak
SSL
319
16
0
25 Nov 2021
QK Iteration: A Self-Supervised Representation Learning Algorithm for
  Image Similarity
QK Iteration: A Self-Supervised Representation Learning Algorithm for Image Similarity
David Wu
Yunnan Wu
SSL
60
0
0
15 Nov 2021
Bag of Tricks and A Strong baseline for Image Copy Detection
Bag of Tricks and A Strong baseline for Image Copy Detection
Wenhao Wang
Weipu Zhang
Yifan Sun
Yi Yang
SSL
183
18
0
13 Nov 2021
D$^2$LV: A Data-Driven and Local-Verification Approach for Image Copy
  Detection
D2^22LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
Wenhao Wang
Yifan Sun
Weipu Zhang
Yi Yang
215
9
0
13 Nov 2021
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Lin Zheng
Huijie Pan
Lingpeng Kong
257
4
0
06 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Edouard Grave
AI4TS
569
576
0
01 Oct 2021
A Battle of Network Structures: An Empirical Study of CNN, Transformer,
  and MLP
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Yucheng Zhao
Guangting Wang
Chuanxin Tang
Chong Luo
Wenjun Zeng
Zhengjun Zha
175
91
0
30 Aug 2021
Focal Self-attention for Local-Global Interactions in Vision
  Transformers
Focal Self-attention for Local-Global Interactions in Vision Transformers
Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Xiyang Dai
Bin Xiao
Lu Yuan
Jianfeng Gao
ViT
353
502
0
01 Jul 2021
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See BetterNeural Information Processing Systems (NeurIPS), 2021
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
377
887
0
28 Jun 2021
XCiT: Cross-Covariance Image Transformers
XCiT: Cross-Covariance Image TransformersNeural Information Processing Systems (NeurIPS), 2021
Alaaeldin El-Nouby
Hugo Touvron
Mathilde Caron
Piotr Bojanowski
Matthijs Douze
...
Ivan Laptev
Natalia Neverova
Gabriel Synnaeve
Jakob Verbeek
Edouard Grave
ViT
446
614
0
17 Jun 2021
The 2021 Image Similarity Dataset and Challenge
The 2021 Image Similarity Dataset and Challenge
Matthijs Douze
Giorgos Tolias
Ed Pizzi
Zoe Papakipos
L. Chanussot
...
Maxim Maximov
Laura Leal-Taixé
Ismail Elezi
Ondřej Chum
Cristian Canton Ferrer
248
70
0
17 Jun 2021
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic
  Disease Classification in Chest X-rays
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-raysIEEE journal of biomedical and health informatics (JBHI), 2021
Uday Kamal
Mohammad Zunaed
N. Nizam
Taufiq Hasan
228
37
0
10 Jun 2021
Data augmentation in Bayesian neural networks and the cold posterior
  effect
Data augmentation in Bayesian neural networks and the cold posterior effectConference on Uncertainty in Artificial Intelligence (UAI), 2021
Seth Nabarro
Stoil Ganev
Adrià Garriga-Alonso
Vincent Fortuin
Mark van der Wilk
Laurence Aitchison
BDL
274
45
0
10 Jun 2021
CAPE: Encoding Relative Positions with Continuous Augmented Positional
  Embeddings
CAPE: Encoding Relative Positions with Continuous Augmented Positional EmbeddingsNeural Information Processing Systems (NeurIPS), 2021
Tatiana Likhomanenko
Qiantong Xu
Gabriel Synnaeve
R. Collobert
A. Rogozhnikov
OODViT
343
70
0
06 Jun 2021
Concurrent Adversarial Learning for Large-Batch Training
Concurrent Adversarial Learning for Large-Batch TrainingInternational Conference on Learning Representations (ICLR), 2021
Yong Liu
Xiangning Chen
Minhao Cheng
Cho-Jui Hsieh
Yang You
ODL
219
13
0
01 Jun 2021
Drawing Multiple Augmentation Samples Per Image During Training
  Efficiently Decreases Test Error
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error
Stanislav Fort
Andrew Brock
Razvan Pascanu
Soham De
Samuel L. Smith
194
36
0
27 May 2021
Vehicle Re-identification Method Based on Vehicle Attribute and Mutual
  Exclusion Between Cameras
Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras
Junru Chen
S. Geng
Yongluan Yan
Danyang Huang
Hao Liu
Yadong Li
144
3
0
30 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Edouard Grave
Julien Mairal
Piotr Bojanowski
Armand Joulin
2.0K
7,967
0
29 Apr 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically
  Predicting View Assignments with Support Samples
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support SamplesIEEE International Conference on Computer Vision (ICCV), 2021
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Armand Joulin
Nicolas Ballas
Michael G. Rabbat
SSL
291
166
0
28 Apr 2021
Visformer: The Vision-friendly Transformer
Visformer: The Vision-friendly TransformerIEEE International Conference on Computer Vision (ICCV), 2021
Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
ViT
532
275
0
26 Apr 2021
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
LeViT: a Vision Transformer in ConvNet's Clothing for Faster InferenceIEEE International Conference on Computer Vision (ICCV), 2021
Ben Graham
Alaaeldin El-Nouby
Hugo Touvron
Pierre Stock
Armand Joulin
Edouard Grave
Matthijs Douze
ViT
348
958
0
02 Apr 2021
Going deeper with Image Transformers
Going deeper with Image TransformersIEEE International Conference on Computer Vision (ICCV), 2021
Hugo Touvron
Matthieu Cord
Alexandre Sablayrolles
Gabriel Synnaeve
Edouard Grave
ViT
643
1,196
0
31 Mar 2021
Meta-learning of Pooling Layers for Character Recognition
Meta-learning of Pooling Layers for Character RecognitionIEEE International Conference on Document Analysis and Recognition (ICDAR), 2021
Takato Otsuzuki
Heon Song
S. Uchida
Hideaki Hayashi
168
3
0
17 Mar 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region
  Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionInternational Conference on Machine Learning (ICML), 2021
Wonjae Kim
Bokyung Son
Ildoo Kim
VLMCLIP
548
2,128
0
05 Feb 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attentionInternational Conference on Machine Learning (ICML), 2020
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Edouard Grave
ViT
672
8,392
0
23 Dec 2020
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-trainingIEEE Transactions on Image Processing (TIP), 2020
Shuai Zhao
Liguang Zhou
Wenxiao Wang
Xiaofei He
Tin Lun Lam
Yangsheng Xu
343
32
0
30 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labelsIEEE International Conference on Computer Vision (ICCV), 2020
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Edouard Grave
SSL
152
76
0
25 Nov 2020
Content-based Image Retrieval and the Semantic Gap in the Deep Learning
  Era
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
Björn Barz
Joachim Denzler
VLM
127
16
0
12 Nov 2020
Class Feature Pyramids for Video Explanation
Class Feature Pyramids for Video Explanation
Alexandros Stergiou
G. Kapidis
Grigorios Kalliatakis
C. Chrysoulas
R. Poppe
R. Veltkamp
FAtt
117
19
0
18 Sep 2019
Mix & Match: training convnets with mixed image sizes for improved
  accuracy, speed and scale resiliency
Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency
Elad Hoffer
Berry Weinstein
Itay Hubara
Tal Ben-Nun
Torsten Hoefler
Daniel Soudry
225
25
0
12 Aug 2019
A Benchmark on Tricks for Large-scale Image Retrieval
A Benchmark on Tricks for Large-scale Image Retrieval
ByungSoo Ko
Minchul Shin
Geonmo Gu
HeeJae Jun
T. Lee
Youngjoon Kim
VLM
179
3
0
27 Jul 2019
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancyNeural Information Processing Systems (NeurIPS), 2019
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Edouard Grave
455
464
0
14 Jun 2019
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