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. 2110.13252
  4. Cited By
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep
  Convolutional Neural Networks

VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks

25 October 2021
Xiwei Xuan
Xiaoyu Zhang
Oh-Hyun Kwon
K. Ma
    HAI
ArXivPDFHTML

Papers citing "VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks"

28 / 28 papers shown
Title
A Visual Analytics Framework for Explaining and Diagnosing Transfer
  Learning Processes
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes
Yuxin Ma
Arlen Fan
Jingrui He
A. R. Nelakurthi
Ross Maciejewski
53
25
0
15 Sep 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and
  Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li
Wenjie Yang
Shouheng Peng
Fan Liu
HAI
3DV
78
2,656
0
01 Apr 2020
A Visual Analytics System for Multi-model Comparison on Clinical Data
  Predictions
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
Yiran Li
Takanori Fujiwara
Y. Choi
Katherine K. Kim
K. Ma
OOD
90
27
0
18 Feb 2020
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique
  for Deep Convolutional Neural Network Models
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models
Daniel Omeiza
Skyler Speakman
C. Cintas
Komminist Weldemariam
FAtt
36
217
0
03 Aug 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation
  and Attribution Summarizations
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Fred Hohman
Haekyu Park
Caleb Robinson
Duen Horng Chau
FAtt
3DH
HAI
37
215
0
04 Apr 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
87
2,286
0
17 Jan 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
78
2,647
0
29 Nov 2018
Sanity Checks for Saliency Maps
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAtt
AAML
XAI
107
1,947
0
08 Oct 2018
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of
  Machine Learning Models
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models
Jiawei Zhang
Yang Wang
Piero Molino
Lezhi Li
D. Ebert
FAtt
33
203
0
01 Aug 2018
Competitive Inner-Imaging Squeeze and Excitation for Residual Network
Competitive Inner-Imaging Squeeze and Excitation for Residual Network
Yang Hu
Guihua Wen
Mingnan Luo
Dan Dai
Jiajiong Ma
Zhiwen Yu
56
46
0
24 Jul 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
78
2,274
0
30 Oct 2017
Do Convolutional Neural Networks Learn Class Hierarchy?
Do Convolutional Neural Networks Learn Class Hierarchy?
B. Alsallakh
Amin Jourabloo
Mao Ye
Xiaoming Liu
Liu Ren
113
212
0
17 Oct 2017
CNNComparator: Comparative Analytics of Convolutional Neural Networks
CNNComparator: Comparative Analytics of Convolutional Neural Networks
Haipeng Zeng
Hammad Haleem
Xavier Plantaz
Nan Cao
Huamin Qu
37
31
0
15 Oct 2017
NIMA: Neural Image Assessment
NIMA: Neural Image Assessment
Hossein Talebi
P. Milanfar
3DH
56
892
0
15 Sep 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
115
6,830
0
04 Jul 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.0K
20,692
0
17 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAtt
AAML
48
1,514
0
11 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
207
19,796
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
622
36,599
0
25 Aug 2016
An Analysis of Deep Neural Network Models for Practical Applications
An Analysis of Deep Neural Network Models for Practical Applications
A. Canziani
Adam Paszke
Eugenio Culurciello
71
1,165
0
24 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu
Jiaxin Shi
Zerui Li
Chongxuan Li
Jun Zhu
Shixia Liu
HAI
67
473
0
24 Apr 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
110
7,448
0
24 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
159
9,266
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
168
4,653
0
21 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
162
7,252
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
308
15,825
0
12 Nov 2013
1