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Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained
  Visual Categorization

Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization

16 January 2024
Qi Bi
Wei Ji
Jingjun Yi
Haolan Zhan
Gui-Song Xia
ArXivPDFHTML

Papers citing "Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization"

27 / 27 papers shown
Title
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Sungnyun Kim
Sangmin Bae
Se-Young Yun
50
11
0
20 Mar 2023
SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image
  Retrieval
SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval
Yang Shen
Xuhao Sun
Xiu-Shen Wei
Qing-Yuan Jiang
Jian Yang
72
18
0
28 Sep 2022
Sparse Instance Activation for Real-Time Instance Segmentation
Sparse Instance Activation for Real-Time Instance Segmentation
Tianheng Cheng
Xinggang Wang
Shaoyu Chen
Wenqiang Zhang
Qian Zhang
Chang Huang
Zhaoxiang Zhang
Wenyu Liu
ISeg
70
132
0
24 Mar 2022
Label-efficient Hybrid-supervised Learning for Medical Image
  Segmentation
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation
Junwen Pan
Qi Bi
Yanzhan Yang
Pengfei Zhu
Cheng Bian
60
21
0
10 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
427
7,705
0
11 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge Belongie
118
288
0
11 Nov 2021
Counterfactual Attention Learning for Fine-Grained Visual Categorization
  and Re-identification
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
Yongming Rao
Guangyi Chen
Jiwen Lu
Jie Zhou
CML
OOD
44
241
0
19 Aug 2021
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained
  Image Recognition
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
Yunqing Hu
Xuan Jin
Yin Zhang
Ha Hong
Jingfeng Zhang
Yuan He
Hui Xue
ViT
62
101
0
17 Jul 2021
Exploring Localization for Self-supervised Fine-grained Contrastive
  Learning
Exploring Localization for Self-supervised Fine-grained Contrastive Learning
Di Wu
Siyuan Li
Z. Zang
Stan Z. Li
SSL
62
9
0
30 Jun 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
92
213
0
17 Jun 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
66
124
0
12 May 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
DML
149
932
0
11 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
613
6,029
0
29 Apr 2021
CvT: Introducing Convolutions to Vision Transformers
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
ViT
136
1,907
0
29 Mar 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
421
21,347
0
25 Mar 2021
TransFG: A Transformer Architecture for Fine-grained Recognition
TransFG: A Transformer Architecture for Fine-grained Recognition
Ju He
Jieneng Chen
Shuai Liu
Adam Kortylewski
Cheng Yang
Yutong Bai
Changhu Wang
ViT
75
386
0
14 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
296
2,338
0
04 Mar 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
78
110
0
17 Jan 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 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
347
6,773
0
13 Jun 2020
Channel Interaction Networks for Fine-Grained Image Categorization
Channel Interaction Networks for Fine-Grained Image Categorization
Yu Gao
Xintong Han
Xun Wang
Weilin Huang
Matthew R. Scott
119
159
0
11 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
452
3,422
0
09 Mar 2020
Fine-Grained Visual Classification via Progressive Multi-Granularity
  Training of Jigsaw Patches
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
Ruoyi Du
Dongliang Chang
A. Bhunia
Jiyang Xie
Zhanyu Ma
Yi-Zhe Song
Jun Guo
103
295
0
08 Mar 2020
Attention Convolutional Binary Neural Tree for Fine-Grained Visual
  Categorization
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
Ruyi Ji
Longyin Wen
Libo Zhang
Dawei Du
Ynajun Wu
Chen Zhao
Xianglong Liu
Feiyue Huang
58
164
0
25 Sep 2019
Cross-X Learning for Fine-Grained Visual Categorization
Cross-X Learning for Fine-Grained Visual Categorization
W. Luo
Xitong Yang
Xianjie Mo
Yuheng Lu
L. Davis
Jun Li
Jian Yang
Ser-Nam Lim
102
194
0
10 Sep 2019
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancy
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
113
422
0
14 Jun 2019
Deep Patch Learning for Weakly Supervised Object Classification and
  Discovery
Deep Patch Learning for Weakly Supervised Object Classification and Discovery
Peng Tang
Xinggang Wang
Zilong Huang
X. Bai
Wenyu Liu
WSOD
OCL
48
73
0
06 May 2017
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