Understanding the subtle interactions between individuals and objects is critical for a variety of applications, including robotics, computer vision, and human-computer interaction.This paper looks at the research landscape for using transformer-based models to discover and understand these relationships.Existing approaches based on their methodologies, datasets used, and application fields have been explored thoroughly.The paper identifies several existing SOTA (state-of-the-art) methodologies that use transformer-based models to detect interactions among people, and objects as well.
| Jurnal | ТАТУ хабарлари |
|---|---|
| Nashr sanasi | 2024-02-14 |
| DOI | 10.61663/241tuitmct6 |
DOI: 10.61663/241tuitmct6 · Maqolaning asl sahifasi · PDF
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