# Closed-set Face Search on IJB-A (10 folds average) Source: [Closed-set Face Search on IJB-A (10 folds average)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:00:58.977Z Evaluation of closed-set face search performance on the IJB-A dataset, averaged across 10 cross-validation folds, typically measured using Rank-1 and Rank-5 retrieval metrics. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Closed-set Face Search | | Dataset (including any stated split) | IJB-A (10 folds average) | | Metric | Rank-1 | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 9 of 9 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Rank-1](): Higher is better; unit: SCALAR. - [Rank-5](): Higher is better; unit: SCALAR. - [Rank-10](): Higher is better; unit: SCALAR. ## Recorded results | Method | Rank-1 | Result date | Report paper | | --- | --- | --- | --- | | DCNN | 0.903 | Not recorded | 68fa62621e209131ce9f904c | | DCNN | 0.882 | Not recorded | 68fa62621e209131ce9f904c | | DCNN | 0.852 | Not recorded | 68fa62621e209131ce9f904c | | Proposed Deep Model | 0.82 | Not recorded | 68fa61fe1e209131ce9f6faa | | Wang et al. | 0.82 | Not recorded | 68fa62621e209131ce9f904c | | DCNN | 0.799 | Not recorded | 68fa62621e209131ce9f904c | | DCNN | 0.726 | Not recorded | 68fa62621e209131ce9f904c | | GOTS | 0.443 | Not recorded | 68fa61fe1e209131ce9f6faa | | OpenBR | 0.246 | Not recorded | 68fa61fe1e209131ce9f6faa | ### DCNN Rank-1: 0.903. Result ID: 698c694c37894ef7d9ce31c6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"fusion":true}. This record does not assert independent reproduction. ### DCNN Rank-1: 0.882. Result ID: 698c694c37894ef7d9ce31c5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"finetuning":true,"metric learning":true,"color":true}. This record does not assert independent reproduction. ### DCNN Rank-1: 0.852. Result ID: 698c694c37894ef7d9ce31c4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"finetuning":true,"metric learning":true}. This record does not assert independent reproduction. ### Proposed Deep Model Rank-1: 0.82. Result ID: 698bd0e77a967eddb7718e42. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Wang et al. Rank-1: 0.82. Result ID: 698c694c37894ef7d9ce31c1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### DCNN Rank-1: 0.799. Result ID: 698c694c37894ef7d9ce31c3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"finetuning":true}. This record does not assert independent reproduction. ### DCNN Rank-1: 0.726. Result ID: 698c694c37894ef7d9ce31c2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### GOTS Rank-1: 0.443. Result ID: 698bd0e77a967eddb7718e40. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### OpenBR Rank-1: 0.246. Result ID: 698bd0e77a967eddb7718e41. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.