# Unsupervised Image Classification on ImageNet Superclasses (10 classes) WordNet hierarchy (val)

Source: [Unsupervised Image Classification on ImageNet Superclasses (10 classes) WordNet hierarchy (val)](<https://www.sota2.com/research/sota/unsupervised-image-classification-on-imagenet-superclasses-10-classes-wordnet-hierarchy-val>)

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

Data updated: 2026-02-26T05:28:23.237Z

Evaluation of Unsupervised Image Classification performance on a specific 10-class subset of ImageNet derived from the WordNet hierarchy, using the validation split.

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 Image Classification |
| Dataset (including any stated split) | ImageNet Superclasses (10 classes) WordNet hierarchy (val) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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-image-classification-on-imagenet-superclasses-10-classes-wordnet-hierarchy-val.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Self-Classifier | 85.7 | Not recorded | 68fa6cf61e209131cea36e46 |
| SCAN | 85.3 | Not recorded | 68fa6cf61e209131cea36e46 |
| OBoW | 83.9 | Not recorded | 68fa6cf61e209131cea36e46 |
| BarlowT | 80.2 | Not recorded | 68fa6cf61e209131cea36e46 |
| MoCoV2 | 80 | Not recorded | 68fa6cf61e209131cea36e46 |
| DINO | 79.7 | Not recorded | 68fa6cf61e209131cea36e46 |
| SwAV | 79.1 | Not recorded | 68fa6cf61e209131cea36e46 |
| SeLa | 55.2 | Not recorded | 68fa6cf61e209131cea36e46 |

### Self-Classifier

Accuracy: 85.7. Result ID: 698f6f253a6c314849f889fe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Implementation](<https://github.com/elad-amrani/self-classifier>)

Recorded evaluation configuration: {"Backbone":"ResNet-50"}. This record does not assert independent reproduction.

### SCAN

Accuracy: 85.3. Result ID: 698f6f253a6c314849f889fd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67d21e209131cea18ae5.md>)

[Implementation](<https://www.sota2.com/here>)

Recorded evaluation configuration: {"Backbone":"ResNet-50","Pre-training":"ImageNet-pretrained"}. This record does not assert independent reproduction.

### OBoW

Accuracy: 83.9. Result ID: 698f6f253a6c314849f889fa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2c1e209131cea2c89f.md>)

[Implementation](<https://github.com/valeoai/obow>)

Recorded evaluation configuration: {"Backbone":"ResNet-50","Evaluation Protocol":"k-means classifier"}. This record does not assert independent reproduction.

### BarlowT

Accuracy: 80.2. Result ID: 698f6f253a6c314849f889fb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5f141e209131ce9e75ab.md>)

[Implementation](<https://github.com/facebookresearch/barlowtwins>)

Recorded evaluation configuration: {"Backbone":"ResNet-50","Evaluation Protocol":"k-means classifier"}. This record does not assert independent reproduction.

### MoCoV2

Accuracy: 80. Result ID: 698f6f253a6c314849f889f8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67371e209131cea14e30.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-50","Evaluation Protocol":"k-means classifier"}. This record does not assert independent reproduction.

### DINO

Accuracy: 79.7. Result ID: 698f6f253a6c314849f889f9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a071e209131cea2594c.md>)

[Implementation](<https://github.com/facebookresearch/dino>)

Recorded evaluation configuration: {"Backbone":"ResNet-50","Evaluation Protocol":"k-means classifier"}. This record does not assert independent reproduction.

### SwAV

Accuracy: 79.1. Result ID: 698f6f253a6c314849f889f7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa690b1e209131cea1faec.md>)

[Implementation](<https://github.com/facebookresearch/swav>)

Recorded evaluation configuration: {"Backbone":"ResNet-50","Evaluation Protocol":"k-means classifier"}. This record does not assert independent reproduction.

### SeLa

Accuracy: 55.2. Result ID: 698f6f253a6c314849f889fc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf61e209131cea36e46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671c1e209131cea144b1.md>)

[Implementation](<https://github.com/yukimasano/self-label>)

Recorded evaluation configuration: {"Backbone":"ResNet-50","Pre-training":"ImageNet-pretrained"}. This record does not assert independent reproduction.

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