DINO-XSeek - A multimodal target detection model developed by IDEA Research Institute
DINO-XSeek is a multimodal object detection model developed by IDEA Research, combining visual perception and natural language understanding capabilities. DINO-XSeek accurately locates objects in images based on complex linguistic descriptions and identifies object attributes...
What is DINO-XSeek?
DINO-XSeek is a multimodal object detection model developed by IDEA Research, combining visual perception and natural language understanding. Based on complex linguistic descriptions, DINO-XSeek accurately locates objects in images, identifying their attributes (such as color, shape, and action), positional relationships, and interactions. The model is based on the DINO-X unified vision model, using a retrieval framework to first detect all objects in the image, and then uses a large language model to retrieve the most relevant objects from candidate targets. DINO-XSeek has wide applications in autonomous driving, industrial manufacturing, smart homes, agriculture, and food, enabling functions such as safety inspection, quality control, and hazardous behavior recognition, providing a solution for object detection in complex scenes that is closer to human understanding.
Main functions of DINO-XSeek
- Complex Language UnderstandingIt accurately locates targets in images based on natural language descriptions, supporting detailed descriptions of targets, such as "girl in red top" or "person standing next to car".
- Attribute recognitionIt supports the recognition of attributes such as color, shape, age, gender, clothing, posture, and movement of targets.
- Location and spatial relationship identificationIt supports determining the relative positions between targets and the spatial relationship between targets and the environment.
- Interaction Relationship Recognition: Identify interactions between targets and interactions between targets and the environment.
- Reasoning and Multi-Instance ProcessingIt supports complex language reasoning and can handle multi-instance referencing tasks.
The technical principle of DINO-XSeek
- Visual encoderExtract visual information from images and generate visual tokens to describe objects and scenes in the images.
- Object Detection Model (DINO-X)Based on an open-set object detection model, it detects all objects in an image and generates bounding boxes for candidate objects.
- Text tokenizerIt converts natural language descriptions into text tokens and extracts semantic information from the language.
- Search FrameworkVisual tokens, object tokens, and text tokens are input together into a large language model (LLM). Based on the reasoning ability of the language model, the object that best matches the language description is retrieved from the candidate targets, without directly predicting the coordinates.
- Multimodal fusion and reasoningCombining visual and linguistic modalities, it understands complex language descriptions, uses the reasoning ability of language models to accurately locate targets, and achieves referring expression comprehension (REC).
DINO-XSeek project address
- Project official website:https://deepdataspace.com/blog/dino-xseek
Application scenarios of DINO-XSeek
- autonomous drivingIt can identify roads, traffic signs, obstacles, etc., to assist autonomous driving decisions and improve driving safety.
- Industrial manufacturing: To detect defects in parts and components, identify personnel who do not comply with safety regulations, and ensure production quality and safety.
- Smart Home and LifeIt identifies dangerous behaviors in the home (such as elderly people falling) and provides support for smart device interaction.
- Agriculture and FoodDetecting crop diseases and pests and food defects to improve planting and production efficiency.
- Security monitoringIt identifies abnormal behaviors and targets, provides real-time warnings, and enhances the effectiveness of the monitoring system.