specific method · filed under model architecture
2D rotary position embedding
A rotary positional embedding applied to 2D positions, including an axial variant in the supplied evidence.
Also called 2D rotary position embeddings (2D-RoPE), 2D-RoPE, 2D rotary positional embeddings, axial 2D-RoPE with non-causal attention.
- sources
- 3
- models
- 2
- labs adopt it
- 2
- strongest
- used
How sources treat it
One count per evidence span, weakest treatment to strongest.
Documented in
Further reading
Picked by hand, not extracted: where to read more, not evidence for anything on this page.
- Rotary Position Embedding for Vision Transformer (Heo et al., 2024) paper arxiv.orgaxial 2D-RoPE for vision transformers
Evidence
3 spans quoted from the sources, strongest treatment first.
incorporate both axial 2D-RoPE [Heo et al., 2024] with non-causal attention and 2D absolute positional embeddings
we replace standard absolute positional embeddings with 2D-RoPE.
A vision encoder (DeepSeek-ViT, trained from scratch with 2D-RoPE and 3×3 pixel-unshuffle downsampling)
Filed alongside
Other methods under model architecture :: positional encoding.