RoPETR claims 70.9% NDS on nuScenes by applying M-RoPE rotary embeddings to BEV coordinates and temporal IDs in StreamPETR, but a missing RayDN ablation leaves the attribution unclear.
Depth- net: A recurrent neural network architecture for monocular depth pre- diction
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RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding
RoPETR claims 70.9% NDS on nuScenes by applying M-RoPE rotary embeddings to BEV coordinates and temporal IDs in StreamPETR, but a missing RayDN ablation leaves the attribution unclear.