Research map / Vision-language and multimodal / Robot action and navigation
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add high-frequency features as extra input (ablation) | TD-STP · R2R val unseen | SR: 69.65 -> 70.37 | Helped |
| add low-frequency features as extra input (ablation) | TD-STP · R2R val unseen | SR: 69.65 -> 68.75 | Hurt |
| train with FDA augmentation | HAMT · R2R val unseen | SR: 65.64 -> 67.52 | Helped |
| train with FDA augmentation | DUET · R2R val unseen | SR: 70.20 -> 71.86 | Helped |
| train with FDA augmentation | TD-STP · R2R val unseen | SR: 69.65 -> 71.78 | Helped |
| train with FDA augmentation | EnvDrop · R2R val unseen | SR: 51.1 -> 54.5 | Helped |
| train with FDA augmentation | HAMT · RxR val unseen | SDTW: 49.6 -> 51.6 | Helped |
| train with FDA augmentation | HAMT · CVDN val unseen | GP: 5.03 -> 5.39 | Helped |
| train with FDA augmentation | DUET · REVERIE val unseen | SR: 44.65 -> 47.57 | Helped |
| train with FDA augmentation | TD-STP · R2R val unseen, MP3d HF interference | SR: 45.13 -> 62.11 | Helped |
| train with FDA augmentation (Mp3d only) under out-of-domain ImageNet interference | TD-STP · R2R val unseen, ImageNet HF interference | SR: 42.10 -> 61.13 | Helped |
| use FDA instead of EnvEdit visual augmentation | TD-STP · R2R val unseen | SR: 69.82 -> 71.78 | Helped |
Closest papers by meaning
- Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training (CVPR 2020 · similarity 0.90)
- Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method (CVPR 2025 · similarity 0.88)
- General Scene Adaptation for Vision-and-Language Navigation (ICLR 2025 · similarity 0.88)
- Do Visual Imaginations Improve Vision-and-Language Navigation Agents? (CVPR 2025 · similarity 0.87)
- Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation (AAAI 2026 · similarity 0.87)
- NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models (AAAI 2024 · similarity 0.87)
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