SAW-Bench: Learning Situated Awareness in the Real World
A core aspect of human perception is situated awareness, the ability to relate ourselves to the surrounding physical environment and reason over possible actions in context. However, most existing benchmarks for multimodal foundation models (MFMs) emphasize environment-centric spatial relations (relations among objects in a scene), while largely overlooking observer-centric relationships that require reasoning relative to agent's viewpoint, pose, and motion. To bridge this gap, we introduce SAW-Bench (Situated Awareness in the Real World), a novel benchmark for evaluating egocentric situated awareness using real-world videos. SAW-Bench comprises 786 self-recorded videos captured with Ray-...
| Authors | Chuhan Li, Rilyn Han, Joy Hsu et al. |
|---|---|
| Primary category | cs.CV |
| Published | 18 February 2026 |
| Last updated at source | 28 May 2026 |
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