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Found 4 papers, 1 papers with code
Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks
The results show that our method outperforms the baseline method in terms of language comprehension accuracy.
Prototypical Contrastive Transfer Learning for Multimodal Language Understanding
Most conventional models have been trained on real-world datasets that are labor-intensive to collect, and they have not fully leveraged simulation data through a transfer learning framework.
Moment-based Adversarial Training for Embodied Language Comprehension
This is challenging because the robot needs to break down the instruction sentences into subgoals and execute them in the correct order.
Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots
Currently, domestic service robots have an insufficient ability to interact naturally through language.
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