Meituan Technical Team's 8 CVPR 2023 Papers: Overview and Insights
Meituan's technical team showcases eight CVPR 2023 papers covering active domain adaptation, efficient second-order plane adjustment, azimuth-invariant multi-view 3D detection, MAE-GAN visual learning, federated optimization aggregation, RGB-T tracking, zone-aware navigation planning, and content-aware layout generation, highlighting broad AI research and collaborations.
This article presents a curated selection of eight papers from Meituan's technical team that were accepted at CVPR 2023.
The papers span a range of topics including active domain adaptation ("Divide and Adapt"), efficient second-order plane adjustment, azimuth-invariant multi-view 3D object detection (AeDet), a MAE-GAN framework for visual representation learning, elastic aggregation for federated optimization, RGB-T tracking via template-bridged search region interaction, an adaptive zone-aware hierarchical planner for vision-language navigation, and PosterLayout, a benchmark and approach for content-aware visual-textual layout generation.
Each entry includes author affiliations, download links, and a brief technical summary highlighting the core contributions and experimental results.
The collection illustrates Meituan's research breadth in fundamental AI techniques and applied vision tasks, often in collaboration with academic institutions.
Meituan Technology Team
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