Seeing Depth but Choosing Cues in Vision-Language Models
Do vision-language models use depth information to judge which object is closer, or rely on image-plane cues?
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Key points
- We investigate this question through controlled depth--cue conflicts, representation analysis, and interventions.
- Among the many image-plane cues relevant to depth perception, we focus on apparent size and vertical position.
- We compare depth judgments under cue-consistent and cue-conflict conditions in both rendered scenes and real-world photographs.
- Strengthening the model's own depth readout through object-level write-back can correct conflict decisions without updating model parameters or using ground-truth depth annotations.
Sources (1)
- [1]Seeing Depth but Choosing Cues in Vision-Language ModelsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 13, 08:49 AM
Do vision-language models use depth information to judge which object is closer, or rely on image-plane cues?
We investigate this question through controlled depth--cue conflicts, representation analysis, and interventions.
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