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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

17 December 2018
Rakshith Shetty
Bernt Schiele
Mario Fritz
ArXivPDFHTML

Papers citing "Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation"

50 / 57 papers shown
Title
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Pengfei Zhu
Q. Hu
57
0
0
22 Mar 2025
Not Only the Last-Layer Features for Spurious Correlations: All Layer
  Deep Feature Reweighting
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting
Humza Wajid Hameed
Géraldin Nanfack
Eugene Belilovsky
31
1
0
23 Sep 2024
Quantifying Context Bias in Domain Adaptation for Object Detection
Quantifying Context Bias in Domain Adaptation for Object Detection
Hojun Son
Asma Almutairi
Arpan Kusari
AI4CE
29
0
0
23 Sep 2024
Animal Identification with Independent Foreground and Background
  Modeling
Animal Identification with Independent Foreground and Background Modeling
Lukás Picek
Lukás Neumann
Jirí Matas
VLM
43
2
0
23 Aug 2024
The Group Robustness is in the Details: Revisiting Finetuning under
  Spurious Correlations
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
Tyler LaBonte
John C. Hill
Xinchen Zhang
Vidya Muthukumar
Abhishek Kumar
AAML
41
0
0
19 Jul 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced
  Learning
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Mitchell Springer
Vaishnavh Nagarajan
Aditi Raghunathan
44
5
0
30 May 2024
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
H. Malik
Muhammad Huzaifa
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
DiffM
40
2
0
07 Mar 2024
Measuring the Impact of Scene Level Objects on Object Detection: Towards
  Quantitative Explanations of Detection Decisions
Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions
Lynn Vonder Haar
Timothy Elvira
Luke Newcomb
Omar Ochoa
26
1
0
19 Jan 2024
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering
  Classifier Differences Neuron Visualisations and Visual Counterfactual
  Explanations
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
Maximilian Augustin
Yannic Neuhaus
Matthias Hein
DiffM
37
4
0
29 Nov 2023
Interpreting and Controlling Vision Foundation Models via Text
  Explanations
Interpreting and Controlling Vision Foundation Models via Text Explanations
Haozhe Chen
Junfeng Yang
Carl Vondrick
Chengzhi Mao
21
2
0
16 Oct 2023
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
Arshia Soltani Moakhar
Eugenia Iofinova
Elias Frantar
Dan Alistarh
40
1
0
06 Oct 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning
Mitigating the Effect of Incidental Correlations on Part-based Learning
Gaurav Bhatt
Deepayan Das
Leonid Sigal
Vineeth N. Balasubramanian
24
4
0
30 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer
  Annotations
Towards Last-layer Retraining for Group Robustness with Fewer Annotations
Tyler LaBonte
Vidya Muthukumar
Abhishek Kumar
38
36
0
15 Sep 2023
Why semantics matters: A deep study on semantic particle-filtering
  localization in a LiDAR semantic pole-map
Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map
Yuming Huang
Yinjuan Gu
Chengzhong Xu
Hui Kong
3DPC
20
4
0
23 May 2023
Regularizing Self-training for Unsupervised Domain Adaptation via
  Structural Constraints
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints
Rajshekhar Das
Jonathan M Francis
Sanket Vaibhav Mehta
Jean Oh
Emma Strubell
Jose Moura
15
1
0
29 Apr 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation
  Byproducts
Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts
Dongyoon Han
Junsuk Choe
Dante Chun
John Joon Young Chung
Minsuk Chang
Sangdoo Yun
Jean Y. Song
Seong Joon Oh
OOD
437
4
1
30 Mar 2023
Better Understanding Differences in Attribution Methods via Systematic
  Evaluations
Better Understanding Differences in Attribution Methods via Systematic Evaluations
Sukrut Rao
Moritz D Boehle
Bernt Schiele
XAI
29
2
0
21 Mar 2023
Shortcut Detection with Variational Autoencoders
Shortcut Detection with Variational Autoencoders
Nicolas M. Muller
Simon Roschmann
Shahbaz Khan
Philip Sperl
Konstantin Böttinger
AAML
DRL
37
1
0
08 Feb 2023
Opti-CAM: Optimizing saliency maps for interpretability
Opti-CAM: Optimizing saliency maps for interpretability
Hanwei Zhang
Felipe Torres
R. Sicre
Yannis Avrithis
Stéphane Ayache
36
22
0
17 Jan 2023
Spurious Features Everywhere -- Large-Scale Detection of Harmful
  Spurious Features in ImageNet
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet
Yannic Neuhaus
Maximilian Augustin
Valentyn Boreiko
Matthias Hein
AAML
36
30
0
09 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
S. Feizi
69
14
0
05 Dec 2022
Reason from Context with Self-supervised Learning
Reason from Context with Self-supervised Learning
Xinyu Liu
Ankur Sikarwar
Gabriel Kreiman
Zenglin Shi
Mengmi Zhang
ReLM
LRM
32
1
0
23 Nov 2022
XC: Exploring Quantitative Use Cases for Explanations in 3D Object
  Detection
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection
Sunsheng Gu
Vahdat Abdelzad
Krzysztof Czarnecki
17
1
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
34
117
0
20 Oct 2022
Explicit Tradeoffs between Adversarial and Natural Distributional
  Robustness
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri
Kiarash Banihashem
S. Feizi
OOD
75
21
0
15 Sep 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
60
71
0
19 Jul 2022
Towards a More Rigorous Science of Blindspot Discovery in Image
  Classification Models
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
Gregory Plumb
Nari Johnson
Ángel Alexander Cabrera
Ameet Talwalkar
40
5
0
08 Jul 2022
MaskRange: A Mask-classification Model for Range-view based LiDAR
  Segmentation
MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation
Yinjuan Gu
Yuming Huang
Chengzhong Xu
Hui Kong
ISeg
VLM
3DPC
27
10
0
24 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
32
37
0
02 Jun 2022
Towards Better Understanding Attribution Methods
Towards Better Understanding Attribution Methods
Sukrut Rao
Moritz Bohle
Bernt Schiele
XAI
18
32
0
20 May 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
49
318
0
06 Apr 2022
Temporal Shuffling for Defending Deep Action Recognition Models against
  Adversarial Attacks
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks
Jaehui Hwang
Huan Zhang
Jun-Ho Choi
Cho-Jui Hsieh
Jong-Seok Lee
AAML
19
5
0
15 Dec 2021
Editing a classifier by rewriting its prediction rules
Editing a classifier by rewriting its prediction rules
Shibani Santurkar
Dimitris Tsipras
Mahalaxmi Elango
David Bau
Antonio Torralba
A. Madry
KELM
180
89
0
02 Dec 2021
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
David Madras
D. Psaltis
CML
OOD
26
4
0
25 Oct 2021
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Alexey Nekrasov
Jonas Schult
Or Litany
Bastian Leibe
Francis Engelmann
3DPC
164
154
0
05 Oct 2021
Learning to Navigate Sidewalks in Outdoor Environments
Learning to Navigate Sidewalks in Outdoor Environments
Maks Sorokin
Jie Tan
Karen Liu
Sehoon Ha
26
41
0
12 Sep 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
Eungyeup Kim
Jihyeon Janel Lee
Jaegul Choo
27
86
0
23 Aug 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual
  Information Minimization
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
Wei-wei Zhu
Haitian Zheng
Haofu Liao
Weijian Li
Jiebo Luo
29
43
0
11 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
36
22
0
02 Aug 2021
Finding and Fixing Spurious Patterns with Explanations
Finding and Fixing Spurious Patterns with Explanations
Gregory Plumb
Marco Tulio Ribeiro
Ameet Talwalkar
24
40
0
03 Jun 2021
Self-supervised Augmentation Consistency for Adapting Semantic
  Segmentation
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov
Stefan Roth
41
227
0
30 Apr 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box
  Vulnerabilities
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
Julia Rosenzweig
Joachim Sicking
Sebastian Houben
Michael Mock
Maram Akila
AAML
26
3
0
22 Apr 2021
StyleLess layer: Improving robustness for real-world driving
StyleLess layer: Improving robustness for real-world driving
Julien Rebut
Andrei Bursuc
P. Pérez
30
5
0
25 Mar 2021
Towards Causal Representation Learning
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
34
318
0
22 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
47
1,373
0
14 Dec 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Kai Y. Xiao
Logan Engstrom
Andrew Ilyas
A. Madry
17
376
0
17 Jun 2020
Towards Context-Agnostic Learning Using Synthetic Data
Towards Context-Agnostic Learning Using Synthetic Data
Charles Jin
Martin Rinard
OOD
12
1
0
29 May 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Debiasing Skin Lesion Datasets and Models? Not So Fast
Alceu Bissoto
Eduardo Valle
Sandra Avila
21
54
0
23 Apr 2020
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing
  Objects
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
Evangelos Ntavelis
Andrés Romero
I. Kastanis
Luc Van Gool
Radu Timofte
VLM
23
75
0
10 Apr 2020
Overinterpretation reveals image classification model pathologies
Overinterpretation reveals image classification model pathologies
Brandon Carter
Siddhartha Jain
Jonas W. Mueller
David K Gifford
FAtt
24
50
0
19 Mar 2020
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