Revisiting Human-in-the-Loop Object Retrieval with Pre-Trained Vision Transformers

Researchers have revisited Human-in-the-Loop Object Retrieval using pre-trained Vision Transformers, enhancing iterative image classification through user feedback to identify diverse instances of objects in complex scenes. This approach addresses challenges in multi-object datasets by refining representation strategies that balance global context and local object details, offering practical insights for developers working on interactive retrieval systems based on Active Learning.

Read the full article at arXiv cs.CV (Vision)

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