✨SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead
📝 Summary:
SwiftVLA enhances compact VLA models with efficient 4D understanding. It uses a 4D geometry transformer, Fusion Tokens, and a mask-and-reconstruct strategy. This rivals larger models while drastically improving speed and memory efficiency.
🔹 Publication Date: Published on Nov 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.00903
• PDF: https://arxiv.org/pdf/2512.00903
• Project Page: https://swiftvla.github.io/
• Github: https://swiftvla.github.io/
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#SwiftVLA #VLAModels #SpatiotemporalAI #EfficientAI #Transformers
📝 Summary:
SwiftVLA enhances compact VLA models with efficient 4D understanding. It uses a 4D geometry transformer, Fusion Tokens, and a mask-and-reconstruct strategy. This rivals larger models while drastically improving speed and memory efficiency.
🔹 Publication Date: Published on Nov 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.00903
• PDF: https://arxiv.org/pdf/2512.00903
• Project Page: https://swiftvla.github.io/
• Github: https://swiftvla.github.io/
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#SwiftVLA #VLAModels #SpatiotemporalAI #EfficientAI #Transformers