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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"

32 / 32 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
11
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
29
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
26
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
13
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
66
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
11
600
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
59
108
0
17 Jan 2021
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
6
20
0
29 Jun 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
12
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
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
77
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
15
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
18
255
0
07 Mar 2019
Explaining Neural Networks Semantically and Quantitatively
Explaining Neural Networks Semantically and Quantitatively
Runjin Chen
Hao Chen
Ge Huang
J. Ren
Quanshi Zhang
FAtt
9
54
0
18 Dec 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
24
1,155
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
82
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
25
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
12
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
18
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
25
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
27
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
29
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
28
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
13
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
150
113
0
13 Jul 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
8
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
8
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
A. Hengel
Chao Wang
Heng Tao Shen
35
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
33
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
153
788
0
24 Nov 2014
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