R@1: 68.9R@5: 88.7R@10: 93.1Mean Recall: 83.6
Papers with Code · CC BY-SA 4.0
Image Retrieval
Image Retrieval is a fundamental and long-standing computer vision task that involves finding images similar to a given query from a large database. It is often considered a form of fine-grained, instance-level classification. The task is integral to image recognition alongside classification and cross-modal retrieval. By leveraging visual similarity and other criteria, image retrieval enables users to efficiently discover relevant images, making it a crucial tool in applications such as search and recommendation.
<span class="description-source">Extending CLIP for Category-to-image Retrieval in E-commerce</span>
<span style="color:grey; opacity: 0.6">( Image credit: DELF )</span>
논문
R@1: 56.5R@10: 88.2R@5: 81.2
R@1: 57.4R@10: 90.2R@5: 84.1
R@1: 51.5R@10: 85.3R@5: 77.1
R@1: 60.1R@5: 82.9R@10: 89.4Mean Recall: 77.5
R@1: 15.2R@10: 50.5
R@1: 39.4R@10: 79.1R@5: 69.2
Recall@1: 19.0Recall@10: 43.5Recall@5: 35.3
R@5: 59.9R@10: 72.6R@1: 29
R@1: 24.7R@10: 66.8R@5: 53.4
A-R@1: 0.93A-R@5: 3.33A-R@10: 5.8Re-R@1: 0.73
R@1: 30.2R@10: 72.3
R1: 85.6
R@1: 29.7R@10: 72.1R@5: 60.1
R@1: 41.1R@10: 80.1R@5: 70.5
R@1: 36.0
R@1: 86.9R@10: 98.7R@5: 97.3
R@1: 26.2R@10: 69.6R@5: 56.3
R@1: 62.6R@10: 91.1R@5: 85.8
R@1: 58.5R@10: 88.8R@5: 83.0
R@1: 44.0R@10: 82.6R@5: 74.2
R@1: 54.7R@10: 88.2R@5: 81.8
R@1: 57.4R@10: 88.1R@5: 82.0
Recall@1: 14.4Recall@10: 39.1Recall@5: 39.1
R@1: 52.7R@5: 77.9R@10: 85.6Mean Recall: 72.1