4 papers · 1 filter
Learning Global Object-Centric Representations via Disentangled Slot Attention
Tonglin Chen, Yinxuan Huang, Zhimeng Shen +3
Humans can discern scene-independent features of objects across various environments, allowing them to swiftly identify objects amidst changing factors such as lighting, perspectiv…
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints
Jinyang Yuan, Tonglin Chen, Zhimeng Shen +2
Visual scenes are extremely diverse, not only because there are infinite possible combinations of objects and backgrounds but also because the observations of the same scene may va…
OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning
Yinxuan Huang, Tonglin Chen, Zhimeng Shen +3
Humans possess the cognitive ability to comprehend scenes in a compositional manner. To empower AI systems with similar capabilities, object-centric learning aims to acquire repres…
Compositional Scene Modeling with Global Object-Centric Representations
Tonglin Chen, Bin Li, Zhimeng Shen +1
The appearance of the same object may vary in different scene images due to perspectives and occlusions between objects. Humans can easily identify the same object, even if occlusi…