Fine-Grained Instruction-Guided Graph Reasoning for Vision-and-Language Navigation

arXiv:2503.11006 · cs.CV, cs.AI · Submitted 2025-03-14 · Read on arXiv

cs.CV, cs.AI

Submitted: 2025-03-14

Updated: 2026-09-08

Comments: 10 pages, 4 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alignment — 29× in this paper · explained in 1 episode
• Transformer — 14× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Decoupling — 7× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Generalization — 5× in this paper · explained in 13 episodes
• Representation Learning — 5× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Attention Mechanism — 4× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Semantic Alignment — 4× in this paper · explained in 3 episodes
• Vision and Language Navigation — 4× in this paper
• Core — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Trajectory Length — 3× in this paper
• Ablation Studies — 2× in this paper · explained in 1 episode
• Alignment Scores — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Cross-Attention Mechanism — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Navigation Error — 2× in this paper
• Pseudo-labels — 2× in this paper · explained in 2 episodes
• Success Rate — 2× in this paper
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Allocentric Spatial Memory — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Unsupervised Cross-lingual Representation Learning at Scale
• PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis
• Decoupled Weight Decay Regularization

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