ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1504.08289
  4. Cited By
Neural Activation Constellations: Unsupervised Part Model Discovery with
  Convolutional Networks

Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks

30 April 2015
Marcel Simon
E. Rodner
ArXivPDFHTML

Papers citing "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks"

42 / 42 papers shown
Title
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect
  Localization and Species Classification
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
D. Korsch
P. Bodesheim
Joachim Denzler
24
12
0
28 Jul 2023
Part-guided Relational Transformers for Fine-grained Visual Recognition
Part-guided Relational Transformers for Fine-grained Visual Recognition
Yifan Zhao
Jia Li
Xiaowu Chen
Yonghong Tian
ViT
36
34
0
28 Dec 2022
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
34
18
0
28 Sep 2022
PARTICUL: Part Identification with Confidence measure using Unsupervised
  Learning
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning
Romain Xu-Darme
Georges Quénot
Zakaria Chihani
M. Rousset
19
7
0
27 Jun 2022
DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection
DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection
Guang Yang
Juan Cao
Qiang Sheng
Peng Qi
Xirong Li
Jintao Li
28
13
0
17 Mar 2022
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 J. Belongie
74
279
0
11 Nov 2021
Multi-attentional Deepfake Detection
Multi-attentional Deepfake Detection
Hanqing Zhao
Wenbo Zhou
Dongdong Chen
Tianyi Wei
Weiming Zhang
Nenghai Yu
3DPC
45
602
0
03 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
67
108
0
17 Jan 2021
Batch Coherence-Driven Network for Part-aware Person Re-Identification
Batch Coherence-Driven Network for Part-aware Person Re-Identification
Kan Wang
Pengfei Wang
Changxing Ding
Dacheng Tao
24
22
0
21 Sep 2020
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for
  Vehicle Type, Make and Model Classification
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification
Xingyang Ni
H. Huttunen
CVBM
16
20
0
29 Jun 2020
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning
  and Coding Network for Image Recognition with Limited Data
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data
H. Tang
Hong Liu
Wei Xiao
N. Sebe
21
73
0
21 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
12
138
0
21 May 2020
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Shaobo Min
Hantao Yao
Hongtao Xie
Zhengjun Zha
Yongdong Zhang
25
65
0
30 Mar 2020
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN
  Classifiers
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers
Saeed Anwar
Nick Barnes
L. Petersson
19
6
0
24 Mar 2020
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained
  Visual Categorization
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization
Mina Basirat
P. Roth
6
8
0
27 Oct 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
82
193
0
10 Sep 2019
Interpretable Image Recognition with Hierarchical Prototypes
Interpretable Image Recognition with Hierarchical Prototypes
Peter Hase
Chaofan Chen
Oscar Li
Cynthia Rudin
VLM
17
109
0
25 Jun 2019
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
Weifeng Ge
Xiangru Lin
Yizhou Yu
34
255
0
07 Mar 2019
Object Discovery From a Single Unlabeled Image by Mining Frequent
  Itemset With Multi-scale Features
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
Runsheng Zhang
Yaping Huang
Mengyang Pu
Jian Zhang
Q. Guan
Qi Zou
Haibin Ling
ObjD
22
31
0
26 Feb 2019
Unsupervised Part Mining for Fine-grained Image Classification
Unsupervised Part Mining for Fine-grained Image Classification
Runsheng Zhang
Jian Zhang
Yaping Huang
Qi Zou
OCL
20
12
0
26 Feb 2019
Explaining Neural Networks Semantically and Quantitatively
Explaining Neural Networks Semantically and Quantitatively
Runjin Chen
Hao Chen
Ge Huang
J. Ren
Quanshi Zhang
FAtt
18
54
0
18 Dec 2018
Fine-grained visual recognition with salient feature detection
Fine-grained visual recognition with salient feature detection
Hui Feng
Shanshan Wang
S. Ge
ObjD
18
3
0
12 Aug 2018
Saliency for Fine-grained Object Recognition in Domains with Scarce
  Training Data
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
Carola Figueroa Flores
Abel Gonzalez-Garcia
Joost van de Weijer
Bogdan Raducanu
11
50
0
01 Aug 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
41
1,156
0
27 Jun 2018
Sparse, Collaborative, or Nonnegative Representation: Which Helps
  Pattern Classification?
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
Jun Xu
Wangpeng An
Lei Zhang
David C. Zhang
BDL
101
119
0
12 Jun 2018
Visual Concepts and Compositional Voting
Visual Concepts and Compositional Voting
Jianyu Wang
Zhishuai Zhang
Cihang Xie
Yuyin Zhou
Vittal Premachandran
Jun Zhu
Lingxi Xie
Alan Yuille
33
34
0
13 Nov 2017
Fine-grained Discriminative Localization via Saliency-guided Faster
  R-CNN
Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN
Xiangteng He
Yuxin Peng
Junjie Zhao
22
46
0
25 Sep 2017
The Devil is in the Tails: Fine-grained Classification in the Wild
The Devil is in the Tails: Fine-grained Classification in the Wild
Grant Van Horn
Pietro Perona
VLM
34
205
0
05 Sep 2017
Detecting Semantic Parts on Partially Occluded Objects
Detecting Semantic Parts on Partially Occluded Objects
Jianyu Wang
Cihang Xie
Zhishuai Zhang
Jun Zhu
Lingxi Xie
Alan Yuille
29
34
0
25 Jul 2017
Object-Part Attention Model for Fine-grained Image Classification
Object-Part Attention Model for Fine-grained Image Classification
Yuxin Peng
Xiangteng He
Junjie Zhao
OCL
VLM
49
338
0
06 Apr 2017
Objects as context for detecting their semantic parts
Objects as context for detecting their semantic parts
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
34
6
0
28 Mar 2017
ImageNet pre-trained models with batch normalization
ImageNet pre-trained models with batch normalization
Marcel Simon
E. Rodner
Joachim Denzler
VLM
SSeg
41
165
0
05 Dec 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of
  Convolutional Neural Networks Approaches
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
E. Rodner
Marcel Simon
Robert B. Fisher
Joachim Denzler
17
39
0
21 Oct 2016
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
158
113
0
13 Jul 2016
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained
  Image Recognition
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition
Xiu-Shen Wei
Chen-Wei Xie
Jianxin Wu
15
118
0
23 May 2016
Localizing by Describing: Attribute-Guided Attention Localization for
  Fine-Grained Recognition
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
Xiao-Chang Liu
Jiang Wang
Shilei Wen
Errui Ding
Yuanqing Lin
8
76
0
20 May 2016
Selective Convolutional Descriptor Aggregation for Fine-Grained Image
  Retrieval
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Xiu-Shen Wei
Jian-Hao Luo
Jianxin Wu
Zhi-Hua Zhou
19
406
0
18 Apr 2016
Fully Convolutional Attention Networks for Fine-Grained Recognition
Fully Convolutional Attention Networks for Fine-Grained Recognition
Xiao-Chang Liu
Tian Xia
Jiang Wang
Yi Yang
Feng Zhou
Yuanqing Lin
24
102
0
22 Mar 2016
Compositional Model based Fisher Vector Coding for Image Classification
Compositional Model based Fisher Vector Coding for Image Classification
Lingqiao Liu
Peng Wang
Chunhua Shen
Lei Wang
Anton Van Den Hengel
Chao Wang
Heng Tao Shen
40
53
0
16 Jan 2016
No Spare Parts: Sharing Part Detectors for Image Categorization
No Spare Parts: Sharing Part Detectors for Image Categorization
Pascal Mettes
J. C. V. Gemert
Cees G. M. Snoek
27
12
0
16 Oct 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
38
373
0
13 Jan 2015
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
158
789
0
24 Nov 2014
1