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MJev-Spatial replaces spatial answer generation with one-pass classification
MJev-Spatial scores candidate answers using pretrained query and key projections, handling choices, numeric values, and points without generating answer tokens. A single forward pass for each decision could reduce latency in spatial tasks that require frequent interaction.
- What
- MJev-Spatial is a multimodal decision model for spatial relation, distance, and point-prediction tasks.
- Method
- It scores candidate answers with pretrained query and key projections, using coarse-to-fine classification for numerical and point predictions.
- Why it matters
- Single-pass classification avoids answer-token generation and parsing, which can matter for agents making spatial judgments at interaction rates.
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