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Do semantic parts emerge in Convolutional Neural Networks?

Do semantic parts emerge in Convolutional Neural Networks?

13 July 2016
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
ArXivPDFHTML

Papers citing "Do semantic parts emerge in Convolutional Neural Networks?"

16 / 16 papers shown
Title
Towards the Characterization of Representations Learned via
  Capsule-based Network Architectures
Towards the Characterization of Representations Learned via Capsule-based Network Architectures
Saja AL-Tawalbeh
José Oramas
20
1
0
09 May 2023
Inching Towards Automated Understanding of the Meaning of Art: An
  Application to Computational Analysis of Mondrian's Artwork
Inching Towards Automated Understanding of the Meaning of Art: An Application to Computational Analysis of Mondrian's Artwork
A. Doboli
Mahan Agha Zahedi
Niloofar Gholamrezaei
11
0
0
29 Dec 2022
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
Fed2: Feature-Aligned Federated Learning
Fed2: Feature-Aligned Federated Learning
Fuxun Yu
Weishan Zhang
Zhuwei Qin
Zirui Xu
Di Wang
Chenchen Liu
Zhi Tian
Xiang Chen
FedML
28
74
0
28 Nov 2021
Evaluation of Saliency-based Explainability Method
Evaluation of Saliency-based Explainability Method
Sam Zabdiel Sunder Samuel
V. Kamakshi
Namrata Lodhi
N. C. Krishnan
FAtt
XAI
32
12
0
24 Jun 2021
Quantifying Learnability and Describability of Visual Concepts Emerging
  in Representation Learning
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina
Ruth C. Fong
Andrea Vedaldi
OCL
27
13
0
27 Oct 2020
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation
  in the Wild
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
Umberto Michieli
E. Borsato
Luca Rossi
Pietro Zanuttigh
39
39
0
17 Jul 2020
Training Interpretable Convolutional Neural Networks by Differentiating
  Class-specific Filters
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Haoyun Liang
Zhihao Ouyang
Yuyuan Zeng
Hang Su
Zihao He
Shutao Xia
Jun Zhu
Bo Zhang
16
47
0
16 Jul 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
38
370
0
30 Apr 2020
Predicting Visual Memory Schemas with Variational Autoencoders
Predicting Visual Memory Schemas with Variational Autoencoders
C. Kyle-Davidson
A. Bors
K. Evans
DRL
25
7
0
19 Jul 2019
SCOPS: Self-Supervised Co-Part Segmentation
SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung
Varun Jampani
Sifei Liu
Pavlo Molchanov
Ming-Hsuan Yang
Jan Kautz
30
139
0
03 May 2019
Understanding Individual Decisions of CNNs via Contrastive
  Backpropagation
Understanding Individual Decisions of CNNs via Contrastive Backpropagation
Jindong Gu
Yinchong Yang
Volker Tresp
FAtt
17
94
0
05 Dec 2018
Interpreting Deep Visual Representations via Network Dissection
Interpreting Deep Visual Representations via Network Dissection
Bolei Zhou
David Bau
A. Oliva
Antonio Torralba
FAtt
MILM
29
323
0
15 Nov 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
Master's Thesis : Deep Learning for Visual Recognition
Master's Thesis : Deep Learning for Visual Recognition
Rémi Cadène
Nicolas Thome
Matthieu Cord
37
4
0
18 Oct 2016
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
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