| Global Features are All You Need for Image Retrieval and Reranking | ✓ Link | 80.2 | SuperGlobal | 2023-08-14 |
| AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval | ✓ Link | 80 | AMES | 2024-08-06 |
| Hypergraph Propagation and Community Selection for Objects Retrieval | ✓ Link | 73 | Hypergraph propagation+community selection | 2021-12-01 |
| Learning Token-based Representation for Image Retrieval | ✓ Link | 66.57 | Token | 2021-12-12 |
| Instance-level Image Retrieval using Reranking Transformers | ✓ Link | 64 | DELG+ α QE reranking+ RRT reranking | 2021-03-22 |
| Learning Super-Features for Image Retrieval | ✓ Link | 61.2 | FIRe | 2022-01-31 |
| Learning and aggregating deep local descriptors for instance-level recognition | ✓ Link | 56.9 | HOW | 2020-07-26 |
| Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval | ✓ Link | 51.6 | ResNet101+ArcFace GLDv2-train-clean | 2020-04-03 |
| Large-Scale Image Retrieval with Attentive Deep Local Features | ✓ Link | 50.3 | DELF–HQE+SP | 2016-12-19 |
| Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking | ✓ Link | 49.7 | HesAff–rSIFT–HQE+SP | 2018-03-29 |
| Large-Scale Image Retrieval with Attentive Deep Local Features | ✓ Link | 43.1 | DELF–ASMK*+SP | 2016-12-19 |
| Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking | ✓ Link | 41.3 | HesAff–rSIFT–HQE | 2018-03-29 |
| Fine-tuning CNN Image Retrieval with No Human Annotation | ✓ Link | 38.5 | R–GeM | 2017-11-03 |
| Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking | ✓ Link | 36.7 | HesAff–rSIFT–ASMK*+SP | 2018-03-29 |
| Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking | ✓ Link | 36.4 | HesAff–rSIFT–ASMK* | 2018-03-29 |
| Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking | ✓ Link | 35.8 | HesAff–rSIFT–SMK*+SP | 2018-03-29 |
| Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking | ✓ Link | 35.4 | HesAff–rSIFT–SMK* | 2018-03-29 |
| Particular object retrieval with integral max-pooling of CNN activations | ✓ Link | 32.4 | R–R-MAC | 2015-11-18 |
| Emerging Properties in Self-Supervised Vision Transformers | ✓ Link | 24.3 | Dino | 2021-04-29 |
| Particular object retrieval with integral max-pooling of CNN activations | ✓ Link | 18.0 | R – [O] –MAC | 2015-11-18 |
| Cross-dimensional Weighting for Aggregated Deep Convolutional Features | ✓ Link | 13.3 | R – [O] –CroW | 2015-12-13 |
| Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking | ✓ Link | 13.2 | HesAff–rSIFT–VLAD | 2018-03-29 |
| Aggregating Deep Convolutional Features for Image Retrieval | ✓ Link | 12.4 | R – [O] –SPoC | 2015-10-26 |