12/21/2023 0 Comments Grounded meaning![]() Recent works in deep neural networks focus on building intelligent agents via bridging visual and natural language understanding through visually-grounded language learning tasks, requiring expertise in machine learning, computer vision, natural language, and other realms. Now the question researchers are asking is if we can build intelligent agents that can learn to communicate in different modalities as do humans.Īmong various multi-modality learning tasks, Vision-Language Navigation (VLN) is a particularly interesting and challenging task because, in order to navigate an agent inside real environments by following natural language instructions, one needs to perform two levels of grounding-grounding an instruction in the local spatial visual scene, and matching the instruction to the global temporary visual trajectory. Recent studies in psychology have shown that a baby’s most likely first words are based on its visual experience, laying the foundation for a new theory of infant language acquisition and learning. As a result, meaning emerges through grounding natural language in modalities in our environment (for example, images, actions, objects, sounds, and so on). In other words, natural language is tied to how humans interact with their environment. ![]() Indeed, there exists a common conception about the physical appearance of a dog, the sounds dogs make, how they walk or run, and so on. How do humans communicate efficiently? The common belief is that the words humans use to communicate – such as dog, for instance – invoke similar understanding of the physical concepts.
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