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Weakly Supervised Complementary Parts Models for Fine-Grained Image
  Classification from the Bottom Up

Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up

7 March 2019
Weifeng Ge
Xiangru Lin
Yizhou Yu
ArXivPDFHTML

Papers citing "Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up"

38 / 88 papers shown
Title
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An
  Approach
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
Zeren Sun
Yazhou Yao
Xiu-Shen Wei
Yongshun Zhang
Fumin Shen
Jianxin Wu
Jian Zhang
Heng Tao Shen
28
55
0
05 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
26
97
0
17 Jul 2021
Transformer with Peak Suppression and Knowledge Guidance for
  Fine-grained Image Recognition
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
Xinda Liu
Lili Wang
Xiaoguang Han
ViT
39
66
0
14 Jul 2021
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Jun Wang
Xiaohan Yu
Yongsheng Gao
ViT
37
105
0
06 Jul 2021
Weakly Supervised Volumetric Image Segmentation with Deformed Templates
Weakly Supervised Volumetric Image Segmentation with Deformed Templates
Udaranga Wickramasinghe
Patrick M. Jensen
Mian Akbar Shah
Jiancheng Yang
Pascal Fua
3DPC
21
6
0
07 Jun 2021
Channel DropBlock: An Improved Regularization Method for Fine-Grained
  Visual Classification
Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification
Yifeng Ding
Shuwei Dong
Yujun Tong
Zhanyu Ma
Bo Xiao
Haibin Ling
25
7
0
07 Jun 2021
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the
  Interpretability of Attention
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention
T. Gomez
Suiyi Ling
Thomas Fréour
Harold Mouchère
12
5
0
04 Jun 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep
  learning representations with expert knowledge graphs: the MonuMAI cultural
  heritage use case
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
S. Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
49
77
0
24 Apr 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
37
375
0
14 Mar 2021
Sequential Random Network for Fine-grained Image Classification
Chaorong Li
Malu Zhang
Wei Huang
Feng-qing Qin
Anping Zeng
Yuanyuan Huang
16
0
0
12 Mar 2021
Re-rank Coarse Classification with Local Region Enhanced Features for
  Fine-Grained Image Recognition
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition
Shaokang Yang
Shuai Liu
Cheng Yang
Changhu Wang
27
32
0
19 Feb 2021
Soccer Event Detection Using Deep Learning
Soccer Event Detection Using Deep Learning
Ali Karimi
Ramin Toosi
M. Akhaee
23
13
0
08 Feb 2021
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating
  Noisy Samples and Utilizing Hard Ones
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones
Huafeng Liu
Chuanyi Zhang
Yazhou Yao
Xiu-Shen Wei
Fumin Shen
Jian Zhang
Zhenmin Tang
NoLa
30
1
0
23 Jan 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
67
108
0
17 Jan 2021
Knowledge Transfer Based Fine-grained Visual Classification
Knowledge Transfer Based Fine-grained Visual Classification
Siqing Zhang
Ruoyi Du
Dongliang Chang
Zhanyu Ma
Jun Guo
20
3
0
21 Dec 2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Meike Nauta
Ron van Bree
C. Seifert
80
262
0
03 Dec 2020
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and
  Empirical Support
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support
Isma Hadji
Richard P. Wildes
6
2
0
30 Nov 2020
Combining Semantic Guidance and Deep Reinforcement Learning For
  Generating Human Level Paintings
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
Jaskirat Singh
Liang Zheng
11
20
0
25 Nov 2020
Data-driven Meta-set Based Fine-Grained Visual Classification
Data-driven Meta-set Based Fine-Grained Visual Classification
Chuanyi Zhang
Yazhou Yao
Xiangbo Shu
Zechao Li
Zhenmin Tang
Qi Wu
NoLa
21
2
0
06 Aug 2020
Salvage Reusable Samples from Noisy Data for Robust Learning
Salvage Reusable Samples from Noisy Data for Robust Learning
Zeren Sun
Xiansheng Hua
Yazhou Yao
Xiu-Shen Wei
Guosheng Hu
Jian Zhang
NoLa
26
41
0
06 Aug 2020
End-to-end Learning of a Fisher Vector Encoding for Part Features in
  Fine-grained Recognition
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition
D. Korsch
P. Bodesheim
Joachim Denzler
19
8
0
04 Jul 2020
Facing the Hard Problems in FGVC
Facing the Hard Problems in FGVC
Connor Anderson
M. Gwilliam
Adam Teuscher
Andrew Merrill
Ryan Farrell
15
5
1
23 Jun 2020
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Ivan Skorokhodov
Mohamed Elhoseiny
VLM
21
5
0
19 Jun 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image
  Categorization with Few Labeled Samples
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
Chang Xu
27
54
0
28 May 2020
Focus Longer to See Better:Recursively Refined Attention for
  Fine-Grained Image Classification
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Prateek Shroff
Tianlong Chen
Yunchao Wei
Zhangyang Wang
6
12
0
22 May 2020
Fine-Grained Visual Classification with Efficient End-to-end
  Localization
Fine-Grained Visual Classification with Efficient End-to-end Localization
Harald Hanselmann
Hermann Ney
8
5
0
11 May 2020
Semi-supervised Learning for Few-shot Image-to-Image Translation
Semi-supervised Learning for Few-shot Image-to-Image Translation
Yaxing Wang
Salman Khan
Abel Gonzalez-Garcia
Joost van de Weijer
F. Khan
VLM
22
46
0
30 Mar 2020
Fine-grained Species Recognition with Privileged Pooling: Better Sample
  Efficiency Through Supervised Attention
Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention
Andrés C. Rodríguez
Stefano Dáronco
Konrad Schindler
Jan Dirk Wegner
11
4
0
20 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
76
291
0
08 Mar 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
32
300
0
11 Feb 2020
Weakly Supervised Attention Pyramid Convolutional Neural Network for
  Fine-Grained Visual Classification
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
Yifeng Ding
Shaoguo Wen
Jiyang Xie
Dongliang Chang
Zhanyu Ma
Zhongwei Si
Haibin Ling
37
56
0
09 Feb 2020
Attribute-guided Feature Learning Network for Vehicle Re-identification
Attribute-guided Feature Learning Network for Vehicle Re-identification
Huibing Wang
Jinjia Peng
Dongyan Chen
Guangqi Jiang
Tongtong Zhao
Xianping Fu
18
85
0
12 Jan 2020
Fine-grained Recognition: Accounting for Subtle Differences between
  Similar Classes
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
Guolei Sun
Hisham Cholakkal
Salman Khan
F. Khan
Ling Shao
18
114
0
14 Dec 2019
ELoPE: Fine-Grained Visual Classification with Efficient Localization,
  Pooling and Embedding
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding
Harald Hanselmann
Hermann Ney
4
27
0
17 Nov 2019
ACE: Adaptive Confusion Energy for Natural World Data Distribution
ACE: Adaptive Confusion Energy for Natural World Data Distribution
Yen-Chi Hsu
Cheng-Yao Hong
Ding-Jie Chen
Ming-Sui Lee
D. Geiger
Tyng-Luh Liu
9
4
0
28 Oct 2019
Classification-Specific Parts for Improving Fine-Grained Visual
  Categorization
Classification-Specific Parts for Improving Fine-Grained Visual Categorization
D. Korsch
P. Bodesheim
Joachim Denzler
6
36
0
16 Sep 2019
Multi-Attention Multi-Class Constraint for Fine-grained Image
  Recognition
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
Ming-hui Sun
Yuchen Yuan
Feng Zhou
Errui Ding
125
350
0
14 Jun 2018
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
94
233
0
28 Feb 2017
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