Intelligent Image Search Algorithms Fusing Visual Large Models
PositiveArtificial Intelligence
- A new framework called DetVLM has been proposed to enhance fine-grained image retrieval by integrating object detection with Visual Large Models (VLMs). This two-stage pipeline utilizes a YOLO detector for efficient component-level screening, addressing limitations in conventional methods that struggle with state-specific retrieval and zero-shot search capabilities.
- The introduction of DetVLM is significant as it aims to improve the accuracy and efficiency of image retrieval in critical fields such as security and industrial inspection, where precise identification of object components and their states is essential.
- This development reflects a broader trend in artificial intelligence where the fusion of different model types, such as YOLO and VLMs, is increasingly seen as a solution to enhance performance. The ongoing evolution of object detection frameworks and their applications in various domains, including fashion and anomaly detection, highlights the importance of integrating advanced technologies to meet complex retrieval challenges.
— via World Pulse Now AI Editorial System
