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Found 12 papers, 5 papers with code
Navigating to Objects Specified by Images
Our modular method solves sub-tasks of exploration, goal instance re-identification, goal localization, and local navigation.
Instance-Specific Image Goal Navigation: Training Embodied Agents to Find Object Instances
We consider the problem of embodied visual navigation given an image-goal (ImageNav) where an agent is initialized in an unfamiliar environment and tasked with navigating to a location 'described' by an image.
Retrospectives on the Embodied AI Workshop
We present a retrospective on the state of Embodied AI research.
Iterative Vision-and-Language Navigation
We present Iterative Vision-and-Language Navigation (IVLN), a paradigm for evaluating language-guided agents navigating in a persistent environment over time.
Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments
Recent work in Vision-and-Language Navigation (VLN) has presented two environmental paradigms with differing realism -- the standard VLN setting built on topological environments where navigation is abstracted away, and the VLN-CE setting where agents must navigate continuous 3D environments using low-level actions.
Waypoint Models for Instruction-guided Navigation in Continuous Environments
Little inquiry has explicitly addressed the role of action spaces in language-guided visual navigation -- either in terms of its effect on navigation success or the efficiency with which a robotic agent could execute the resulting trajectory.
Where Are You? Localization from Embodied Dialog
In this paper, we focus on the LED task -- providing a strong baseline model with detailed ablations characterizing both dataset biases and the importance of various modeling choices.
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments – Extended Abstract
We develop a language-guided navigation task set in a continuous 3D environment where agents must execute low-level actions to follow natural language navigation directions.
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
We develop a language-guided navigation task set in a continuous 3D environment where agents must execute low-level actions to follow natural language navigation directions.
Language-Agnostic Syllabification with Neural Sequence Labeling
The concept of the syllable is cross-linguistic, though formal definitions are rarely agreed upon, even within a language.
Abstractive Summarization Using Attentive Neural Techniques
However, we show that these metrics are limited in their ability to effectively score abstractive summaries, and propose a new approach based on the intuition that an abstractive model requires an abstractive evaluation.
Syllabification by Phone Categorization
Syllables play an important role in speech synthesis, speech recognition, and spoken document retrieval.
