Computing device including large-scale pre-trained artificial intelligence model for object detection, object detection method, and training method of task-specific adaptation network

A computing device including a memory configured to store an instruction for executing and training a large-scale pre-trained artificial intelligence (AI) model performing object detection and a processor configured to execute the instruction, the large-scale pre-trained AI model executed and trained by the processor comprising:

• a multimodal model configured to process different modality inputs including an input image and an input text and an adapted embedding vector specific to a user task to perform the object detection;
• and
• a task-specific adaptation network configured to generate the adapted embedding vector and provide the adapted embedding vector to the multimodal model, based on an embedding transformation operation on an image embedding vector and a text embedding vector respectively corresponding to the input image and the input text input from the multimodal model.