SearchAD is a large-scale semantic image retrieval benchmark for rare driving scenarios that supports text-to-image and image-to-image tasks and shows text-based methods outperform image-based ones while overall performance stays limited.
Evaluation of text-to-image retrieval methods on the SearchAD test set: Class-wise Average Precision (AP), and the Mean Average Precision (MAP) over all 90 classes
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SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving
SearchAD is a large-scale semantic image retrieval benchmark for rare driving scenarios that supports text-to-image and image-to-image tasks and shows text-based methods outperform image-based ones while overall performance stays limited.