Research map / Vision-language and multimodal / Human and embodied modeling
Predicting Motivations of Actions by Leveraging Text
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add text-mined language potentials to visual classifiers | Vision model · Motivations dataset test | median rank (motivation): 39 -> 28 | Helped |
| Add the person crop features | Vision model · Motivations dataset test | median rank (motivation): 39 -> 42 | Hurt |
| Add person crop features to the text-augmented model | Vision + Text · Motivations dataset test | median rank (motivation): 28 -> 27 | Helped |
| Use a web-trained language model instead of the Wikipedia language model | Vision + Person + Text · Motivations dataset test | median rank (motivation): 28 -> 27 | Helped |
| Provide the ground-truth action to the model (ablation) | Vision + Person + Text · Motivations dataset test | median rank (motivation): 27 -> 26 | Helped |
| Provide the ground-truth scene to the model (ablation) | Vision + Person + Text · Motivations dataset test | median rank (motivation): 27 -> 27 | No clear effect |
| Provide both the ground-truth action and scene to the model (ablation) | Vision + Person + Text · Motivations dataset test | median rank (motivation): 27 -> 25 | Helped |
| Add text-mined language potentials to visual classifiers | Vision model · Motivations dataset test | median rank (action): 17 -> 15 | Helped |
| Add text-mined language potentials to visual classifiers | Vision model · Motivations dataset test | median rank (scene): 4 -> 3 | Helped |
Closest papers by meaning
- Intentonomy: A Dataset and Study Towards Human Intent Understanding (CVPR 2021 · similarity 0.87)
- Reward Learning From Narrated Demonstrations (CVPR 2018 · similarity 0.85)
- Learning Goals From Failure (CVPR 2021 · similarity 0.85)
- Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos (CVPR 2022 · similarity 0.85)
- LLaVAction: evaluating and training multi-modal large language models for action understanding (ICLR 2026 · similarity 0.83)
- Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition (NeurIPS 2025 · similarity 0.83)
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