# Image Category Discovery on ImageNet 30-class subsets (test)

Source: [Image Category Discovery on ImageNet 30-class subsets (test)](<https://www.sota2.com/research/sota/image-category-discovery-on-imagenet-30-class-subsets-test>)

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

Data updated: 2026-02-26T05:27:20.091Z

Evaluation of Image Category Discovery performance on a specific 30-class subset of the ImageNet dataset, typically measured using Accuracy (ACC) and Normalized Mutual Information (NMI).

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 | Image Category Discovery |
| Dataset (including any stated split) | ImageNet 30-class subsets (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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/image-category-discovery-on-imagenet-30-class-subsets-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Accuracy (100)](<https://www.sota2.com/research/sota/image-category-discovery-on-imagenet-30-class-subsets-test.md?metric=Accuracy%20(100)>): Higher is better; unit: PERCENT.

- [NMI](<https://www.sota2.com/research/sota/image-category-discovery-on-imagenet-30-class-subsets-test.md?metric=NMI>): Higher is better; unit: SCALAR.

- [NMI (100)](<https://www.sota2.com/research/sota/image-category-discovery-on-imagenet-30-class-subsets-test.md?metric=NMI%20(100)>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CCN-CCL | 74.4 | Not recorded | 68fa64871e209131cea0533d |
| CCN-KCL | 73.8 | Not recorded | 68fa64871e209131cea0533d |
| LSC | 73.3 | Not recorded | 68fa64871e209131cea0533d |
| K-means | 71.9 | Not recorded | 68fa64871e209131cea0533d |
| LPNMF | 43 | Not recorded | 68fa64871e209131cea0533d |

### CCN-CCL

Accuracy: 74.4. Result ID: 698c4b1737894ef7d9cd4cd8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0533d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0533d.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training":"ImageNet882 classification"}. This record does not assert independent reproduction.

### CCN-KCL

Accuracy: 73.8. Result ID: 698c4b1737894ef7d9cd4cd7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0533d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64251e209131cea02d67.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training":"ImageNet882 classification"}. This record does not assert independent reproduction.

### LSC

Accuracy: 73.3. Result ID: 698c4b1737894ef7d9cd4cd5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0533d.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training":"ImageNet882 classification"}. This record does not assert independent reproduction.

### K-means

Accuracy: 71.9. Result ID: 698c4b1737894ef7d9cd4cd4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0533d.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training":"ImageNet882 classification"}. This record does not assert independent reproduction.

### LPNMF

Accuracy: 43. Result ID: 698c4b1737894ef7d9cd4cd6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64871e209131cea0533d.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training":"ImageNet882 classification"}. This record does not assert independent reproduction.

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