千支队伍争锋！首届「启智杯」算法大赛圆满落幕，助推AI应用落地

Core Viewpoint - Artificial intelligence is transitioning from theoretical exploration to large-scale application, becoming a new engine for high-quality economic and social development in China [1] Group 1: Event Overview - The "Qizhi Cup" algorithm innovation application challenge was officially launched on May 20, 2025, by Qiyuan Laboratory, aiming to promote the practical application of intelligent algorithms [1] - The competition attracted 1,022 teams from universities, research institutions, and technology companies, with three teams winning in different tracks [2][20] Group 2: Competition Tracks - The competition featured three main tracks: "Robust Instance Segmentation of Satellite Remote Sensing Images," "Drone Ground Target Detection for Embedded Platforms," and "Adversarial Challenges for Multimodal Large Models" [4][20] - Each track focused on core capabilities such as robust perception, lightweight deployment, and adversarial defense [4] Group 3: Track Summaries Robust Instance Segmentation of Satellite Remote Sensing Images - This track aimed at precise segmentation of complex targets in high-resolution remote sensing images, addressing challenges like occlusion and domain differences [6] - The champion team from South China University of Technology utilized an optimized Co-DETR model, enhancing feature learning through multi-task training [8][9] Drone Ground Target Detection for Embedded Platforms - This track required algorithms to achieve high recognition accuracy while operating efficiently on resource-constrained platforms [9][21] - The winning team, "Duan Yan Wu Ping," achieved high precision under hardware limitations by transitioning from YOLOv11 to a Transformer-based Co-DETR model [10][12] Adversarial Challenges for Multimodal Large Models - This track evaluated models on accuracy, robustness, and resistance to attacks in visible light remote sensing scenarios [14] - The winning team from Sun Yat-sen University developed a robust and reliable model using a systematic optimization approach [16][18] Group 4: Industry Implications - The "Qizhi Cup" serves as a platform for integrating cutting-edge algorithms with practical applications, emphasizing the adaptability and engineering feasibility of models in dynamic environments [20][21] - The competition fosters AI talent development, enhancing participants' understanding of business and data while bridging the gap between theory and engineering [23]