Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning Article Swipe
Jinwoo Kim
,
Janghyuk Choi
,
Jae-Hyun Kang
,
C. S. George Lee
,
Ho-Jin Choi
,
Seon Joo Kim
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2310.08929
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2310.08929
The binding problem in artificial neural networks is actively explored with the goal of achieving human-level recognition skills through the comprehension of the world in terms of symbol-like entities. Especially in the field of computer vision, object-centric learning (OCL) is extensively researched to better understand complex scenes by acquiring object representations or slots. While recent studies in OCL have made strides with complex images or videos, the interpretability and interactivity over object representation remain largely uncharted, still holding promise in the field of OCL. In this paper, we introduce a novel method, Slot Attention with Image Augmentation (SlotAug), to explore the possibility of learning interpretable controllability over slots in a self-supervised manner by utilizing an image augmentation strategy. We also devise the concept of sustainability in controllable slots by introducing iterative and reversible controls over slots with two proposed submethods: Auxiliary Identity Manipulation and Slot Consistency Loss. Extensive empirical studies and theoretical validation confirm the effectiveness of our approach, offering a novel capability for interpretable and sustainable control of object representations.
Related Topics
Concepts
Interpretability
Controllability
Computer science
Object (grammar)
Artificial intelligence
Consistency (knowledge bases)
Representation (politics)
Field (mathematics)
Interactivity
Symbol (formal)
Machine learning
Multimedia
Mathematics
Pure mathematics
Politics
Law
Programming language
Political science
Applied mathematics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2310.08929
- https://arxiv.org/pdf/2310.08929
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387726304
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387726304Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2310.08929Digital Object Identifier
- Title
-
Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric LearningWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-13Full publication date if available
- Authors
-
Jinwoo Kim, Janghyuk Choi, Jae-Hyun Kang, C. S. George Lee, Ho-Jin Choi, Seon Joo KimList of authors in order
- Landing page
-
https://arxiv.org/abs/2310.08929Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2310.08929Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2310.08929Direct OA link when available
- Concepts
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Interpretability, Controllability, Computer science, Object (grammar), Artificial intelligence, Consistency (knowledge bases), Representation (politics), Field (mathematics), Interactivity, Symbol (formal), Machine learning, Multimedia, Mathematics, Pure mathematics, Politics, Law, Programming language, Political science, Applied mathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.strides | 60 |
| abstract_inverted_index.studies | 55, 149 |
| abstract_inverted_index.through | 18 |
| abstract_inverted_index.videos, | 65 |
| abstract_inverted_index.vision, | 35 |
| abstract_inverted_index.Identity | 141 |
| abstract_inverted_index.actively | 8 |
| abstract_inverted_index.computer | 34 |
| abstract_inverted_index.controls | 133 |
| abstract_inverted_index.explored | 9 |
| abstract_inverted_index.learning | 37, 103 |
| abstract_inverted_index.networks | 6 |
| abstract_inverted_index.offering | 159 |
| abstract_inverted_index.proposed | 138 |
| abstract_inverted_index.Attention | 93 |
| abstract_inverted_index.Auxiliary | 140 |
| abstract_inverted_index.Extensive | 147 |
| abstract_inverted_index.achieving | 14 |
| abstract_inverted_index.acquiring | 48 |
| abstract_inverted_index.approach, | 158 |
| abstract_inverted_index.empirical | 148 |
| abstract_inverted_index.entities. | 28 |
| abstract_inverted_index.introduce | 88 |
| abstract_inverted_index.iterative | 130 |
| abstract_inverted_index.strategy. | 117 |
| abstract_inverted_index.utilizing | 113 |
| abstract_inverted_index.(SlotAug), | 97 |
| abstract_inverted_index.Especially | 29 |
| abstract_inverted_index.artificial | 4 |
| abstract_inverted_index.capability | 162 |
| abstract_inverted_index.researched | 41 |
| abstract_inverted_index.reversible | 132 |
| abstract_inverted_index.uncharted, | 75 |
| abstract_inverted_index.understand | 44 |
| abstract_inverted_index.validation | 152 |
| abstract_inverted_index.Consistency | 145 |
| abstract_inverted_index.extensively | 40 |
| abstract_inverted_index.human-level | 15 |
| abstract_inverted_index.introducing | 129 |
| abstract_inverted_index.possibility | 101 |
| abstract_inverted_index.recognition | 16 |
| abstract_inverted_index.submethods: | 139 |
| abstract_inverted_index.sustainable | 166 |
| abstract_inverted_index.symbol-like | 27 |
| abstract_inverted_index.theoretical | 151 |
| abstract_inverted_index.Augmentation | 96 |
| abstract_inverted_index.Manipulation | 142 |
| abstract_inverted_index.augmentation | 116 |
| abstract_inverted_index.controllable | 126 |
| abstract_inverted_index.comprehension | 20 |
| abstract_inverted_index.effectiveness | 155 |
| abstract_inverted_index.interactivity | 69 |
| abstract_inverted_index.interpretable | 104, 164 |
| abstract_inverted_index.object-centric | 36 |
| abstract_inverted_index.representation | 72 |
| abstract_inverted_index.sustainability | 124 |
| abstract_inverted_index.controllability | 105 |
| abstract_inverted_index.representations | 50 |
| abstract_inverted_index.self-supervised | 110 |
| abstract_inverted_index.interpretability | 67 |
| abstract_inverted_index.representations. | 170 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |