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ObjectCompose: Evaluating Resilience of Vision-Based Models on
  Object-to-Background Compositional Changes

ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes

7 March 2024
H. Malik
Muhammad Huzaifa
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
    DiffM
ArXivPDFHTML

Papers citing "ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes"

37 / 37 papers shown
Title
LANCE: Stress-testing Visual Models by Generating Language-guided
  Counterfactual Images
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Viraj Prabhu
Sriram Yenamandra
Prithvijit Chattopadhyay
Judy Hoffman
56
41
0
30 May 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
Xiaodan Li
YueFeng Chen
Yao Zhu
Shuhui Wang
Rong Zhang
Hui Xue
55
24
0
30 Mar 2023
EVA-CLIP: Improved Training Techniques for CLIP at Scale
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Quan-Sen Sun
Yuxin Fang
Ledell Yu Wu
Xinlong Wang
Yue Cao
CLIP
VLM
129
493
0
27 Mar 2023
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Peter Ebert Christensen
Vésteinn Snaebjarnarson
Andrea Dittadi
Serge Belongie
Sagie Benaim
AAML
45
1
0
17 Nov 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
Fahad Shahbaz Khan
VPVLM
VLM
251
565
0
06 Oct 2022
Part-Based Models Improve Adversarial Robustness
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David Wagner
63
12
0
15 Sep 2022
Prompt-to-Prompt Image Editing with Cross Attention Control
Prompt-to-Prompt Image Editing with Cross Attention Control
Amir Hertz
Ron Mokady
J. Tenenbaum
Kfir Aberman
Yael Pritch
Daniel Cohen-Or
DiffM
157
1,765
0
02 Aug 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Abhijith Sharma
Yijun Bian
Phil Munz
Apurva Narayan
VLM
AAML
58
20
0
16 Jun 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Y. Fu
Shunyao Zhang
Shan-Hung Wu
Cheng Wan
Yingyan Lin
AAML
43
67
0
16 Mar 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
154
5,158
0
10 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
388
15,454
0
20 Dec 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
471
1,630
0
10 Nov 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
466
2,394
0
02 Sep 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
432
21,392
0
25 Mar 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
367
6,757
0
23 Dec 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
231
7,350
0
06 Oct 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
62
424
0
16 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
320
1,732
0
29 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
372
13,025
0
26 May 2020
Achieving Robustness in the Wild via Adversarial Mixing with
  Disentangled Representations
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Sven Gowal
Chongli Qin
Po-Sen Huang
taylan. cemgil
Krishnamurthy Dvijotham
Timothy A. Mann
Pushmeet Kohli
AAML
OOD
67
57
0
06 Dec 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
195
1,469
0
16 Jul 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a
  New Disentanglement Dataset
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal
Manuel Wüthrich
Ðorðe Miladinovic
Francesco Locatello
M. Breidt
V. Volchkov
J. Akpo
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
DRL
87
138
0
07 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
606
4,777
0
13 May 2019
Not Using the Car to See the Sidewalk: Quantifying and Controlling the
  Effects of Context in Classification and Segmentation
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation
Rakshith Shetty
Bernt Schiele
Mario Fritz
53
83
0
17 Dec 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses
  of Familiar Objects
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn
Melvin Johnson
Zhitao Gong
Chengfei Wang
Long Mai
Naveen Ari
Stella Laurenzo
82
299
0
28 Nov 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
118
1,771
0
24 May 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
211
306
0
21 May 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
273
9,759
0
25 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
294
12,060
0
19 Jun 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
289
2,374
0
20 Dec 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
467
3,140
0
04 Nov 2016
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
277
19,981
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
760
36,781
0
25 Aug 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
155
5,522
0
09 Dec 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
264
19,045
0
20 Dec 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
398
43,619
0
01 May 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
261
14,912
1
21 Dec 2013
1