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Found 4 papers, 1 papers with code
MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping
The paper further makes benchmark contributions by 1) Improving processing code for existing datasets to produce consistent ground truth with temporal alignments and 2) Augmenting existing mAP metrics with consistency checks.
Prompt Tuning for Multi-View Graph Contrastive Learning
Third, we design a prompting tuning method for our multi-view graph contrastive learning method to bridge the gap between pretexts and downsteam tasks.
Empower Text-Attributed Graphs Learning with Large Language Models (LLMs)
In order to tackle this challenge, we propose a lightweight paradigm called ENG, which adopts a plug-and-play approach to empower text-attributed graphs through node generation using LLMs.
Mirror3D: Depth Refinement for Mirror Surfaces
Despite recent progress in depth sensing and 3D reconstruction, mirror surfaces are a significant source of errors.
