Scene-Intuitive Agent for Remote Embodied Visual Grounding
Not on the map. Why?
Abstract (arXiv)
Humans learn from life events to form intuitions towards the understanding of visual environments and languages. Envision that you are instructed by a high-level instruction, "Go to the bathroom in the master bedroom and replace the blue towel on the left wall", what would you possibly do to carry out the task? Intuitively, we comprehend the semantics of the instruction to form an overview of where a bathroom is and what a blue towel is in mind; then, we navigate to the target location by consistently matching the bathroom appearance in mind with the current scene. In this paper, we present an agent that mimics such human behaviors. Specifically, we focus on the Remote Embodied Visual Referring Expression in Real Indoor Environments task, called REVERIE, where an agent is asked to correctly localize a remote target object specified by a concise high-level natural language instruction, and propose a two-stage training pipeline. In the first stage, we pretrain the agent with two cross-modal alignment sub-tasks, namely the Scene Grounding task and the Object Grounding task. The agent learns where to stop in the Scene Grounding task and what to attend to in the Object Grounding task respectively. Then, to generate action sequences, we propose a memory-augmented attentive action decoder to smoothly fuse the pre-trained vision and language representations with the agent's past memory experiences. Without bells and whistles, experimental results show that our method outperforms previous state-of-the-art(SOTA) significantly, demonstrating the effectiveness of our method.
Key facts. Cited by 49 papers in the map (data through 14 Oct 2026). Builds on 38 of its 51 references that are in the map. First posted on arXiv 24 Mar 2021.
Builds on
38 of 51 references.
References · 38
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26 more
- 2016Reinforcement Learning with Unsupervised Auxiliary Taskscited by 404
- 2018Speaker-Follower Models for Vision-and-Language Navigationcited by 340
- 2017Embodied Question Answeringcited by 336
- 2019REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environmentscited by 333
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Citing papers per year: 2021: 2; 2022: 8; 2023: 10; 2024: 14; 2025: 9; 2026: 6.
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12 newest of 41 All 41 (JSON)