To tackle this issue, this paper proposes TiMoSLAM, a semantic-geometric tight-coupling monocular visual object SLAM system, which considers a rigorous correspondence between semantics and geometry ...

For decades, scientists have hypothesized that one of these pathways, the ventral visual stream, is responsible for recognizing objects, and that it might have been optimized by evolution to do just ...

For decades, scientists have hypothesized that one of these pathways, the ventral visual stream, is responsible for recognizing objects, and that it might have been optimized by evolution to do ...

Hearing spoken words can enhance the recognition of visual object categories. Yet, the mechanisms that underpin this facilitation are incompletely understood. Recent proposals suggest that words can ...

A complete software engineering project that follows all the formal steps starting from scope fixation, diagrams (ERD, BPMN, Class Diagram, Sequence Diagram and State Diagram) followed by ...

Abstract: Current audio-visual representation learning can capture rough object categories (e.g., "animals" and "instruments"), but it lacks the ability to recognize fine-grained details, such as ...

You can refer to it to know how to use the model. Additionally, I have provided another .ipynb file that illustrates the process of learning class embeddings for the model. Note: You may need to ...

No significant difference was detected between the power of trypophobic images with human body backgrounds and objects backgrounds. As the trypophobic images with human body backgrounds induced ...