Meituan Technical Team Shares CVPR 2021 Pre-lecture: Five Papers on Video Instance Segmentation, Facial Expression Recognition, Real-time Semantic Segmentation, Weakly Supervised Semantic Segmentation, and Multi-source Domain Adaptation
At a CVPR 2021 pre‑lecture, Meituan’s Visual Intelligence Center showcased five cutting‑edge papers—VisTR transformer‑based video instance segmentation, a feature‑decomposition facial expression recognizer, an accelerated BiSeNet for real‑time semantic segmentation, an embedded discriminative attention mechanism for weakly supervised segmentation, and a partial‑feature selection framework for multi‑source domain adaptation—highlighting the company’s large AI R&D team, university collaborations, real‑world deployment across its services, and ongoing recruitment.
