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一种类级别对比学习的弱监督文本行人检索方法及系统
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新时达:公司及子公司取得发明专利证书
Mei Ri Jing Ji Xin Wen· 2025-12-22 05:02
Group 1 - The company, Shanghai New Times Electric Co., Ltd., and its subsidiaries have recently received invention patent certificates for several technologies, including a weakly supervised text pedestrian retrieval method and a data augmentation method based on learnable data [1] Group 2 - The new energy heavy truck industry has experienced a significant surge in sales, with November sales increasing by 178% year-on-year, indicating a strong demand that has led to customers directly urging manufacturers for orders [1]
新时达:公司及子公司取得5项专利证书
Core Viewpoint - The company, Xinshida, has recently received five invention patent certificates from the National Intellectual Property Administration, indicating a focus on innovation and technology development [1] Group 1: Patent Details - The patents include a method and system for weakly supervised text pedestrian retrieval based on class-level comparison learning [1] - A method for augmenting small-scale datasets based on learnable data enhancement has been patented [1] - The company has developed a logistics system simulation testing platform, which is also patented [1] - An evaluation method, device, electronic equipment, and storage medium for industrial robot performance has been patented [1] - A method, device, electronic equipment, and storage medium for ensuring the normal operation of elevators has been patented [1]