Abstract: We propose SharpDepth, a novel approach to monocular metric depth estimation that combines the metric accuracy of discriminative depth estimation methods (e.g., Metric3D, UniDepth) with the ...
Abstract: End-edge collaborative inference refers to the fact that edge servers (ESs) and end devices (EDs) jointly participate in inference tasks, which can not only reduce communication latency and ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...