# Unsupervised Continual Clustering on Tiny-ImageNet Source: [Unsupervised Continual Clustering on Tiny-ImageNet]() Collection index: [llms.txt]() Data updated: 2026-06-08T08:04:24.342Z Evaluation of unsupervised continual clustering performance on the Tiny-ImageNet dataset, measured using Clustering Accuracy (ACC) and F-score. 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 | Unsupervised Continual Clustering | | Dataset (including any stated split) | Tiny-ImageNet | | Metric | Clustering Accuracy (ACC) | | Unit | PERCENT | | 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 - [Clustering Accuracy (ACC)](): Higher is better; unit: PERCENT. - [F-Score](): Higher is better; unit: PERCENT. ## Recorded results | Method | Clustering Accuracy (ACC) | Result date | Report paper | | --- | --- | --- | --- | | FBCC | 18.36 | Not recorded | 6a264cb190966ade919beba4 | | CaSSLe | 17.45 | Not recorded | 6a264cb190966ade919beba4 | | POCON | 16.25 | Not recorded | 6a264cb190966ade919beba4 | | CC | 14 | Not recorded | 6a264cb190966ade919beba4 | | LUMP | 10.53 | Not recorded | 6a264cb190966ade919beba4 | | STAM | 9.21 | Not recorded | 6a264cb190966ade919beba4 | | Co2L | 8.69 | Not recorded | 6a264cb190966ade919beba4 | | CCL | 8.21 | Not recorded | 6a264cb190966ade919beba4 | | OCD-Net | 7.97 | Not recorded | 6a264cb190966ade919beba4 | ### FBCC Clustering Accuracy (ACC): 18.36. Result ID: 6a267783fbc373592c231a7c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of parameters":"17.5m"}. This record does not assert independent reproduction. ### CaSSLe Clustering Accuracy (ACC): 17.45. Result ID: 6a267783fbc373592c231a7a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of parameters":"29m"}. This record does not assert independent reproduction. ### POCON Clustering Accuracy (ACC): 16.25. Result ID: 6a267783fbc373592c231a7b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### CC Clustering Accuracy (ACC): 14. Result ID: 6a267783fbc373592c231a74. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"mode":"offline"}. This record does not assert independent reproduction. ### LUMP Clustering Accuracy (ACC): 10.53. Result ID: 6a267783fbc373592c231a79. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### STAM Clustering Accuracy (ACC): 9.21. Result ID: 6a267783fbc373592c231a78. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Co2L Clustering Accuracy (ACC): 8.69. Result ID: 6a267783fbc373592c231a75. [Reporting paper]() Recorded evaluation configuration: {"learning\_mode":"SCL"}. This record does not assert independent reproduction. ### CCL Clustering Accuracy (ACC): 8.21. Result ID: 6a267783fbc373592c231a77. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### OCD-Net Clustering Accuracy (ACC): 7.97. Result ID: 6a267783fbc373592c231a76. [Reporting paper]() Recorded evaluation configuration: {"learning\_mode":"SCL"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.