商湯(00020.HK)聯合團隊自動駕駛通用大模型獲選CVPR 2023最佳論文
商湯-W(00020.HK)公布,與聯合實驗室2篇論文登上本屆全球人工智能計算機視覺領域頂級國際會議CVPR 2023 (Computer Vision and Pattern Recognition Conference)12篇最佳論文候選名單,其中自動駕駛研究論文《Planning-oriented Autonomous Driving》獲本屆CVPR最佳論文獎。
當中,公司與聯合實驗室CVPR 2023 Best Paper提出的自動駕駛通用大模型——Unified Autonomous Driving(UniAD)首次將檢測、跟蹤、建圖、軌跡預測、佔據柵格預測及規劃整合到一個基於Transformer的端到端網絡框架下,更高效契合 「多任務」和「高性能」的特點。不僅是CVPR歷史上第一篇以自動駕駛為主題的最佳論文,同時也標誌著自動駕駛領域的重要突破。
此外,公司與聯合實驗室CVPR 2023 Best Paper候選論文《OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation》提出OmniObject3D,一個具有大規模高質量真實掃描3D物體的大型詞彙3D物體數據集,覆蓋近200個類別、約6,000個三維物體數據,包括高精表面網格、點雲、多視角渲染圖像和實景採集的視頻,借助專業掃描設備保證物體數據的精細形狀和真實紋理。
商湯科技還在半監督目標檢測、3D GAN inversion框架、擴散模型等領域取得眾多研究成果,可廣泛應用於內容生成、3D重建等場景。
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