# Unsupervised Continual Clustering on CIFAR-100

Source: [Unsupervised Continual Clustering on CIFAR-100](<https://www.sota2.com/research/sota/unsupervised-continual-clustering-on-cifar-100>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-06-08T08:04:24.278Z

Evaluation of Unsupervised Continual Clustering performance on the CIFAR-100 dataset, focusing on resource utilization metrics such as training time, memory usage, and model size.

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) | CIFAR-100 |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 15 of 15 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/unsupervised-continual-clustering-on-cifar-100.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Total Training Time (s)](<https://www.sota2.com/research/sota/unsupervised-continual-clustering-on-cifar-100.md?metric=Total%20Training%20Time%20(s)>): Lower is better; unit: TIME.

- [Max GPU Memory (MB)](<https://www.sota2.com/research/sota/unsupervised-continual-clustering-on-cifar-100.md?metric=Max%20GPU%20Memory%20(MB)>): Lower is better; unit: SIZE.

- [Model Size (MB)](<https://www.sota2.com/research/sota/unsupervised-continual-clustering-on-cifar-100.md?metric=Model%20Size%20(MB)>): Lower is better; unit: SIZE.

- [Trainable Parameters (M)](<https://www.sota2.com/research/sota/unsupervised-continual-clustering-on-cifar-100.md?metric=Trainable%20Parameters%20(M)>): Lower is better; unit: SIZE.

- [F Score](<https://www.sota2.com/research/sota/unsupervised-continual-clustering-on-cifar-100.md?metric=F%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CC | 42.9 | Not recorded | 6a264cb190966ade919beba4 |
| FBCC | 38.73 | Not recorded | 6a264cb190966ade919beba4 |
| CaSSLe | 36.67 | Not recorded | 6a264cb190966ade919beba4 |
| POCON | 35.29 | Not recorded | 6a264cb190966ade919beba4 |
| STAM | 25.34 | Not recorded | 6a264cb190966ade919beba4 |
| Co2L | 19.88 | Not recorded | 6a264cb190966ade919beba4 |
| CCL | 19.59 | Not recorded | 6a264cb190966ade919beba4 |
| LUMP | 19.53 | Not recorded | 6a264cb190966ade919beba4 |
| OCD-Net | 18.06 | Not recorded | 6a264cb190966ade919beba4 |

### CC

Accuracy: 42.9. Result ID: 6a267783fbc373592c231a6b.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68661e209131cea1bd44.md>)

Recorded evaluation configuration: {"mode":"offline"}. This record does not assert independent reproduction.

### FBCC

Accuracy: 38.73. Result ID: 6a267783fbc373592c231a73.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

Recorded evaluation configuration: {"number of parameters":"17.5m"}. This record does not assert independent reproduction.

### CaSSLe

Accuracy: 36.67. Result ID: 6a267783fbc373592c231a71.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c301e209131cea32b42.md>)

Recorded evaluation configuration: {"number of parameters":"29m"}. This record does not assert independent reproduction.

### POCON

Accuracy: 35.29. Result ID: 6a267783fbc373592c231a72.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa708c1e209131cea4ba7a.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### STAM

Accuracy: 25.34. Result ID: 6a267783fbc373592c231a6f.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5f121e209131ce9e74b7.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Co2L

Accuracy: 19.88. Result ID: 6a267783fbc373592c231a6c.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

Recorded evaluation configuration: {"learning\_mode":"SCL"}. This record does not assert independent reproduction.

### CCL

Accuracy: 19.59. Result ID: 6a267783fbc373592c231a6e.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dd81e209131cea3c5c9.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### LUMP

Accuracy: 19.53. Result ID: 6a267783fbc373592c231a70.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c2a1e209131cea3276b.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### OCD-Net

Accuracy: 18.06. Result ID: 6a267783fbc373592c231a6d.

[Reporting paper](<https://www.sota2.com/research/paper/6a264cb190966ade919beba4.md>)

Recorded evaluation configuration: {"learning\_mode":"SCL"}. This record does not assert independent reproduction.

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