arXiv (All)
open access
How Vision Transformers Represent Position: A Mechanistic Comparison of Absolute and Rotary Positional Encodings
Positional embeddings encode the spatial position of each image patch in a Vision Transformer (ViT), allowing the model to distinguish different spatial arrangements of visual content. However, we know little about how the choice of embedding shapes a vision transformer's internal representation. In
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- WorldRoPE: Probabilistic World-Centric Rotary Embedding for Multi-View Attention#1327927
- End-to-End Visual Odometry with RNNs and Attention#1062089
- Higher-Dimensional Rotary Position Embedding#798348
- Higher-Dimensional Rotary Position Embedding#796935
- Official Review · ICLR 2025#787179
Record · ID 1324593
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive