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 | SuperGlobal | mAP | 80.2 | — | Unverified |
| 2 | AMES | mAP | 80 | — | Unverified |
| 3 | Hypergraph propagation+community selection | mAP | 73 | — | Unverified |
| 4 | Token | mAP | 66.57 | — | Unverified |
| 5 | DELG+ α QE reranking+ RRT reranking | mAP | 64 | — | Unverified |
| 6 | FIRe | mAP | 61.2 | — | Unverified |
| 7 | HOW | mAP | 56.9 | — | Unverified |
| 8 | ResNet101+ArcFace GLDv2-train-clean | mAP | 51.6 | — | Unverified |
| 9 | DELF–HQE+SP | mAP | 50.3 | — | Unverified |
| 10 | HesAff–rSIFT–HQE+SP | mAP | 49.7 | — | Unverified |