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Understanding Deep Image Representations by Inverting Them

Understanding Deep Image Representations by Inverting Them

26 November 2014
Aravindh Mahendran
Andrea Vedaldi
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Understanding Deep Image Representations by Inverting Them"

50 / 858 papers shown
Title
Finding Biological Plausibility for Adversarially Robust Features via
  Metameric Tasks
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
A. Harrington
Arturo Deza
OODAAML
82
20
0
02 Feb 2022
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data
  Augmentations
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
Amin Ghiasi
Hamid Kazemi
Steven Reich
Chen Zhu
Micah Goldblum
Tom Goldstein
88
16
0
31 Jan 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
322
126
0
26 Jan 2022
Variational Model Inversion Attacks
Variational Model Inversion Attacks
Kuan-Chieh Wang
Yanzhe Fu
Ke Li
Ashish Khisti
R. Zemel
Alireza Makhzani
MIACV
96
99
0
26 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition
Deeply Explain CNN via Hierarchical Decomposition
Mingg-Ming Cheng
Peng-Tao Jiang
Linghao Han
Liang Wang
Philip Torr
FAtt
96
15
0
23 Jan 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the
  Statistical Mechanics of Deep Neural Networks
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks
Shaun Li
AI4CE
84
0
0
03 Jan 2022
Splicing ViT Features for Semantic Appearance Transfer
Splicing ViT Features for Semantic Appearance Transfer
Narek Tumanyan
Omer Bar-Tal
Shai Bagon
Tali Dekel
DiffM
95
181
0
02 Jan 2022
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial
  Learning
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
Tony Ng
Hyo Jin Kim
Vincent C. S. Lee
Daniel DeTone
Tsun-Yi Yang
Tianwei Shen
Eddy Ilg
Vassileios Balntas
K. Mikolajczyk
Chris Sweeney
GAN
82
24
0
23 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
111
65
0
16 Dec 2021
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Xiangnan Yin
Di Huang
Zehua Fu
Yunhong Wang
Liming Chen
3DHCVBM
73
8
0
15 Dec 2021
Ex-Model: Continual Learning from a Stream of Trained Models
Ex-Model: Continual Learning from a Stream of Trained Models
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
CLL
57
12
0
13 Dec 2021
Interactive Visualization and Representation Analysis Applied to Glacier
  Segmentation
Interactive Visualization and Representation Analysis Applied to Glacier Segmentation
Minxing Zheng
Xinran Miao
Kris Sankaran
45
1
0
11 Dec 2021
Activation to Saliency: Forming High-Quality Labels for Completely
  Unsupervised Salient Object Detection
Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection
Huajun Zhou
Peijia Chen
Lingxiao Yang
Jianhuang Lai
Xiaohua Xie
68
0
0
07 Dec 2021
Do Invariances in Deep Neural Networks Align with Human Perception?
Do Invariances in Deep Neural Networks Align with Human Perception?
Vedant Nanda
Ayan Majumdar
Camila Kolling
John P. Dickerson
Krishna P. Gummadi
Bradley C. Love
Adrian Weller
AAML
38
5
0
29 Nov 2021
Understanding the Dynamics of DNNs Using Graph Modularity
Understanding the Dynamics of DNNs Using Graph Modularity
Yao Lu
Wen Yang
Yunzhe Zhang
Zuohui Chen
Jinyin Chen
Qi Xuan
Zhen Wang
Xiaoniu Yang
125
12
0
24 Nov 2021
SPINE: Soft Piecewise Interpretable Neural Equations
SPINE: Soft Piecewise Interpretable Neural Equations
Jasdeep Singh Grover
Harsh Minesh Domadia
Rajashree Tapase
Grishma Sharma
40
0
0
20 Nov 2021
Interpreting Representation Quality of DNNs for 3D Point Cloud
  Processing
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
Wen Shen
Qihan Ren
Dongrui Liu
Quanshi Zhang
3DPC
144
18
0
05 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
99
10
0
05 Nov 2021
Adversarially Perturbed Wavelet-based Morphed Face Generation
Adversarially Perturbed Wavelet-based Morphed Face Generation
Kelsey O'Haire
Sobhan Soleymani
Baaria Chaudhary
Poorya Aghdaie
J. Dawson
Nasser M. Nasrabadi
CVBM
49
11
0
03 Nov 2021
DistFL: Distribution-aware Federated Learning for Mobile Scenarios
DistFL: Distribution-aware Federated Learning for Mobile Scenarios
Bingyan Liu
Y. Cai
Ziqi Zhang
Yan Liang
Leye Wang
Ding Li
Yao Guo
Xiangqun Chen
OODFedML
58
8
0
22 Oct 2021
Towards General Deep Leakage in Federated Learning
Towards General Deep Leakage in Federated Learning
Jiahui Geng
Yongli Mou
Feifei Li
Qing Li
Oya Beyan
Stefan Decker
Chunming Rong
FedML
85
58
0
18 Oct 2021
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Zarina Rakhimberdina
Quentin Jodelet
Xin Liu
T. Murata
3DV
173
30
0
18 Oct 2021
TorchEsegeta: Framework for Interpretability and Explainability of
  Image-based Deep Learning Models
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models
S. Chatterjee
Arnab Das
Chirag Mandal
Budhaditya Mukhopadhyay
Manish Vipinraj
Aniruddh Shukla
R. Rao
Chompunuch Sarasaen
Oliver Speck
A. Nürnberger
MedIm
78
15
0
16 Oct 2021
Making Corgis Important for Honeycomb Classification: Adversarial
  Attacks on Concept-based Explainability Tools
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools
Davis Brown
Henry Kvinge
AAML
85
7
0
14 Oct 2021
Towards Data-Free Domain Generalization
Towards Data-Free Domain Generalization
A. Frikha
Haokun Chen
Denis Krompass
Thomas Runkler
Volker Tresp
OOD
165
14
0
09 Oct 2021
Salient ImageNet: How to discover spurious features in Deep Learning?
Salient ImageNet: How to discover spurious features in Deep Learning?
Sahil Singla
Soheil Feizi
AAMLVLM
124
120
0
08 Oct 2021
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by
  Reinforcement Learning
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning
Baochen Sun
Meng Gu
Dailan He
Tongda Xu
Yan Wang
Hongwei Qin
56
4
0
30 Sep 2021
Designing Counterfactual Generators using Deep Model Inversion
Designing Counterfactual Generators using Deep Model Inversion
Jayaraman J. Thiagarajan
V. Narayanaswamy
Deepta Rajan
J. Liang
Akshay S. Chaudhari
A. Spanias
DiffM
62
22
0
29 Sep 2021
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet
  Transform
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
Dongmei Xue
Haichuan Ma
Li Li
Dong Liu
Zhiwei Xiong
MedIm
64
7
0
18 Sep 2021
Detection Accuracy for Evaluating Compositional Explanations of Units
Detection Accuracy for Evaluating Compositional Explanations of Units
Sayo M. Makinwa
Biagio La Rosa
Roberto Capobianco
FAttCoGe
89
1
0
16 Sep 2021
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view
  Physical Adversarial Attack
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack
Donghua Wang
Tingsong Jiang
Jialiang Sun
Weien Zhou
Xiaoya Zhang
Zhiqiang Gong
Wen Yao
Xiaoqian Chen
AAML
103
106
0
15 Sep 2021
IFBiD: Inference-Free Bias Detection
IFBiD: Inference-Free Bias Detection
Ignacio Serna
Daniel DeAlcala
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
CVBM
109
11
0
09 Sep 2021
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual
  Features in Images
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images
Jiafan Zhuang
Wanying Tao
Jianfei Xing
Wei Shi
Ruixuan Wang
Weishi Zheng
FAtt
52
3
0
25 Aug 2021
Interpreting Face Inference Models using Hierarchical Network Dissection
Interpreting Face Inference Models using Hierarchical Network Dissection
Divyang Teotia
Àgata Lapedriza
Sarah Ostadabbas
CVBM
79
3
0
23 Aug 2021
Transferring Knowledge with Attention Distillation for Multi-Domain
  Image-to-Image Translation
Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation
Runze Li
Tomaso Fontanini
Luca Donati
Andrea Prati
B. Bhanu
GAN
135
0
0
17 Aug 2021
Where do Models go Wrong? Parameter-Space Saliency Maps for
  Explainability
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
Roman Levin
Manli Shu
Eitan Borgnia
Furong Huang
Micah Goldblum
Tom Goldstein
FAttAAML
57
11
0
03 Aug 2021
Defending against Reconstruction Attack in Vertical Federated Learning
Defending against Reconstruction Attack in Vertical Federated Learning
Jiankai Sun
Yuanshun Yao
Weihao Gao
Junyuan Xie
Chong-Jun Wang
AAMLFedML
68
28
0
21 Jul 2021
MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting
MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting
Sourya Dipta Das
Nisarg A. Shah
Saikat Dutta
85
7
0
13 Jul 2021
Controlled Caption Generation for Images Through Adversarial Attacks
Controlled Caption Generation for Images Through Adversarial Attacks
Nayyer Aafaq
Naveed Akhtar
Wei Liu
M. Shah
Ajmal Mian
AAML
59
10
0
07 Jul 2021
On The Distribution of Penultimate Activations of Classification
  Networks
On The Distribution of Penultimate Activations of Classification Networks
Minkyo Seo
Yoonho Lee
Suha Kwak
UQCV
49
4
0
05 Jul 2021
Darker than Black-Box: Face Reconstruction from Similarity Queries
Darker than Black-Box: Face Reconstruction from Similarity Queries
Anton Razzhigaev
Klim Kireev
Igor Udovichenko
Aleksandr Petiushko
CVBM
56
8
0
27 Jun 2021
Inverting and Understanding Object Detectors
Inverting and Understanding Object Detectors
Ang Cao
Justin Johnson
ObjD
128
3
0
26 Jun 2021
How Well do Feature Visualizations Support Causal Understanding of CNN
  Activations?
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann
Judy Borowski
Robert Geirhos
Matthias Bethge
Thomas S. A. Wallis
Wieland Brendel
FAtt
95
33
0
23 Jun 2021
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image
  Representations
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
Witold Oleszkiewicz
Dominika Basaj
Igor Sieradzki
Michal Górszczak
Barbara Rychalska
K. Lewandowska
Tomasz Trzciñski
Bartosz Zieliñski
SSL
75
3
0
21 Jun 2021
A Game-Theoretic Taxonomy of Visual Concepts in DNNs
A Game-Theoretic Taxonomy of Visual Concepts in DNNs
Xu Cheng
Chuntung Chu
Yi Zheng
Jie Ren
Quanshi Zhang
47
22
0
21 Jun 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
A. Kapishnikov
Subhashini Venugopalan
Besim Avci
Benjamin D. Wedin
Michael Terry
Tolga Bolukbasi
122
95
0
17 Jun 2021
Weakly-Supervised Photo-realistic Texture Generation for 3D Face
  Reconstruction
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction
Xiangnan Yin
Di Huang
Zehua Fu
Yunhong Wang
Liming Chen
3DH
65
5
0
14 Jun 2021
Pixel Sampling for Style Preserving Face Pose Editing
Pixel Sampling for Style Preserving Face Pose Editing
Xiangnan Yin
Di Huang
Hongyu Yang
Zehua Fu
Yunhong Wang
Liming Chen
CVBM
70
1
0
14 Jun 2021
Inverting Adversarially Robust Networks for Image Synthesis
Inverting Adversarially Robust Networks for Image Synthesis
Renan A. Rojas-Gomez
Raymond A. Yeh
Minh Do
A. Nguyen
65
5
0
13 Jun 2021
On the Evolution of Neuron Communities in a Deep Learning Architecture
On the Evolution of Neuron Communities in a Deep Learning Architecture
Sakib Mostafa
Debajyoti Mondal
GNN
61
3
0
08 Jun 2021
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