M3-Former: Multimodal Transformer with Mixture-of-Experts for Long-Term Vessel Trajectory Prediction

arXiv 2609.10559v17fd4082a174864a9fdefa7fcd7a8e1e521d56b55b9a888a425784bd669628fe1

Paper metadata

arXiv ID
2609.10559
Version
v1
Category
cs.CV, cs.LG
Authors
Wenzhe Jin, Haina Tang
Publication date
2026-09-11T04:00:00Z
Source identifier
2609.10559v1
Public record ID
record:sha256:7fd4082a174864a9fdefa7fcd7a8e1e521d56b55b9a888a425784bd669628fe1

Source license ↗

The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.

This is source-provided metadata, not an enriched summary or an impact assessment. Follow the canonical source link for the published material.

Evidence and limitations

Source ID
arxiv_research
Record identifier
7fd4082a174864a9fdefa7fcd7a8e1e521d56b55b9a888a425784bd669628fe1
Record type
Source metadata

This record may overlap with other records. Source metadata can be incomplete or change. Validate consequential decisions against the linked source and your own environment.

Record · M3-Former: Multimodal Transformer with Mixture-of-Experts for Long-Term Vessel Trajectory Prediction · Baitaphish