SSD object detection algorithm based on knowledge map
by Li Huang; Xiaofeng Wang; Jianhua Lu; Wei Hu; Changrong Zhang
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 27, No. 2, 2024

Abstract: With the pervasive integration of artificial intelligence into all aspects of human life, talent emerges as a primary resource. Upon analysing the current state of talent training in higher education institutions, issues such as dispersed knowledge points, overlapping content, a singular practice approach and ineffective evaluation have been identified. In response to these challenges, this paper proposes a multidisciplinary and comprehensive practical teaching methodology grounded in the knowledge graph framework. It delves into diverse paths for practical teaching and assessment, including aspects like teaching objectives, problem decomposition, resource integration, implementation methods and performance evaluation. The practical application of the SSD algorithm in researching service robot indoor object detection serves as an illustrative example. Employing the holistic practical teaching approach facilitated by the knowledge graph, this model guides students in acquiring object detection expertise, thereby enhancing their comprehensive development.

Online publication date: Thu, 01-Aug-2024

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