Multimodal research in vision and language: A review of current and emerging trends
Deep Learning and its applications have cascaded impactful research and development
with a diverse range of modalities present in the real-world data. More recently, this has …
with a diverse range of modalities present in the real-world data. More recently, this has …
Evolving graphical planner: Contextual global planning for vision-and-language navigation
Z Deng, K Narasimhan… - Advances in Neural …, 2020 - proceedings.neurips.cc
The ability to perform effective planning is crucial for building an instruction-following agent.
When navigating through a new environment, an agent is challenged with (1) connecting the …
When navigating through a new environment, an agent is challenged with (1) connecting the …
Vision-and-language navigation today and tomorrow: A survey in the era of foundation models
Vision-and-Language Navigation (VLN) has gained increasing attention over recent years
and many approaches have emerged to advance their development. The remarkable …
and many approaches have emerged to advance their development. The remarkable …
Vision-language navigation: a survey and taxonomy
Vision-language navigation (VLN) tasks require an agent to follow language instructions
from a human guide to navigate in previously unseen environments using visual …
from a human guide to navigate in previously unseen environments using visual …
Language-guided navigation via cross-modal grounding and alternate adversarial learning
The emerging vision-and-language navigation (VLN) problem aims at learning to navigate
an agent to the target location in unseen photo-realistic environments according to the given …
an agent to the target location in unseen photo-realistic environments according to the given …
Improving cross-modal alignment in vision language navigation via syntactic information
Vision language navigation is the task that requires an agent to navigate through a 3D
environment based on natural language instructions. One key challenge in this task is to …
environment based on natural language instructions. One key challenge in this task is to …
Deep learning for embodied vision navigation: A survey
" Embodied visual navigation" problem requires an agent to navigate in a 3D environment
mainly rely on its first-person observation. This problem has attracted rising attention in …
mainly rely on its first-person observation. This problem has attracted rising attention in …
CLEAR: Improving vision-language navigation with cross-lingual, environment-agnostic representations
Vision-and-Language Navigation (VLN) tasks require an agent to navigate through the
environment based on language instructions. In this paper, we aim to solve two key …
environment based on language instructions. In this paper, we aim to solve two key …
Mlanet: Multi-level attention network with sub-instruction for continuous vision-and-language navigation
Vision-and-Language Navigation (VLN) aims to develop intelligent agents to navigate in
unseen environments only through language and vision supervision. In the recently …
unseen environments only through language and vision supervision. In the recently …
Vision-Language Navigation with Embodied Intelligence: A Survey
P Gao, P Wang, F Gao, F Wang, R Yuan - arXiv preprint arXiv:2402.14304, 2024 - arxiv.org
As a long-term vision in the field of artificial intelligence, the core goal of embodied
intelligence is to improve the perception, understanding, and interaction capabilities of …
intelligence is to improve the perception, understanding, and interaction capabilities of …