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Related Questions
- What are some common challenges that large language models face when it comes to object detection tasks, such as handling varying object sizes and occlusions?
- How do large language models handle edge cases in object detection, such as detecting objects with unusual or irregular shapes?
- What are some limitations of using pre-trained large language models for object detection, and how can they be addressed through fine-tuning or transfer learning?
- Can large language models be used for detecting objects in images with cluttered backgrounds, and if so, what techniques can be used to improve performance?
- How do large language models handle the problem of class imbalance in object detection, where some classes have much fewer instances than others?
- What are some techniques for improving the robustness of large language models to adversarial attacks in object detection tasks?
- Can large language models be used for detecting objects in videos, and if so, what are some challenges and limitations associated with this application?
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