Context-Aware Vision Systems Using Knowledge Graphs
Details
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Session details:
💡 Context-Aware Vision Systems Using Knowledge Graphs
🗓️ Tuesday 25th November
⏰ 15:00 PM GMT
🗣️ Niyati P, Software, ML Lead
Traditional computer vision systems often rely solely on pixel-level features and deep learning to interpret images, limiting their ability to understand complex scenes or generalize across contexts. This talk introduces a new paradigm: context-aware vision systems powered by knowledge graphs. By embedding structured semantic knowledge into vision pipelines, machines can infer not just what is seen, but why it matters. We explore how knowledge graphs provide contextual cues—such as object relationships, scene hierarchies, and domain-specific constraints—that enhance visual perception and reasoning. From improving object recognition in ambiguous environments to enabling semantic scene parsing and zero-shot learning, this approach bridges the gap between raw visual data and high-level cognition. The session will highlight recent breakthroughs, implementation strategies using Graph Neural Networks (GNNs), and applications in domains like autonomous driving, medical imaging, and industrial robotics. Attendees will leave with insights on designing vision systems that not only see—but understand.
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Please note: Clicking “Attend” on Meetup does not register you for this summit. You must register via our website to receive your links.
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