SearchAD is a new large-scale rare image retrieval dataset for autonomous driving, containing over 423k frames from 11 datasets with annotations for more than 513k bounding boxes across 90 rare categories. This dataset addresses the challenge of identifying extremely rare scenarios crucial for developing robust AD systems and supports advanced research in text-to-image retrieval and few-shot learning. Developers should monitor SearchAD's impact on improving model performance for long-tail perception tasks.
Read the full article at arXiv cs.CV (Vision)
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