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.
Extending CLIP for Category-to-image Retrieval in E-commerce
( Image credit: DELF )
Papers
Showing 1–10 of 2239 papers
All datasetsROxford (Hard)ROxford (Medium)RParis (Hard)RParis (Medium)CREPE (Compositional REPresentation Evaluation)Fashion IQFlickr30K 1K testCIRRSOPFlickr30k-CNOxf5kFlickr30k
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | X-VLM (base) | R@1 | 86.9 | — | Unverified |
| 2 | RCAR | R@1 | 62.6 | — | Unverified |
| 3 | SGRAF | R@1 | 58.5 | — | Unverified |
| 4 | LGSGM | R@1 | 57.4 | — | Unverified |
| 5 | VisualSparta | R@1 | 57.4 | — | Unverified |
| 6 | TERAN MrSw | R@1 | 56.5 | — | Unverified |
| 7 | TERAN Symm. | R@1 | 55.7 | — | Unverified |
| 8 | VSRN | R@1 | 54.7 | — | Unverified |
| 9 | CAMP | R@1 | 51.5 | — | Unverified |
| 10 | SCAN i-t | R@1 | 44 | — | Unverified |