# Image Classification on ImageNet Occlusion (val)

Source: [Image Classification on ImageNet Occlusion (val)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-occlusion-val>)

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

Data updated: 2026-02-26T06:03:35.727Z

Evaluation of Image Classification performance on the validation split of the ImageNet Occlusion dataset, reporting metrics specific to occlusion handling (S\_{.5}, NS\_{.5}).

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 Classification |
| Dataset (including any stated split) | ImageNet Occlusion (val) |
| Metric | S\_{.5} |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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

- [S\_{.5}](<https://www.sota2.com/research/sota/image-classification-on-imagenet-occlusion-val.md?metric=S_%7B.5%7D>): Higher is better; unit: PERCENT.

- [NS\_{.5}](<https://www.sota2.com/research/sota/image-classification-on-imagenet-occlusion-val.md?metric=NS_%7B.5%7D>): Higher is better; unit: PERCENT.

## Recorded results

| Method | S\_{.5} | Result date | Report paper |
| --- | --- | --- | --- |
| iBOT | 65.9 | Not recorded | 68fa6bb51e209131cea2fbe0 |
| DINO | 64.7 | Not recorded | 68fa6bb51e209131cea2fbe0 |

### iBOT

S\_{.5}: 65.9. Result ID: 698e9eb6ffc3901de09f322d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bb51e209131cea2fbe0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bb51e209131cea2fbe0.md>)

[Implementation](<https://github.com/bytedance/ibot>)

Recorded evaluation configuration: {"Backbone":"ViT-S/16","Pre-training epochs":"800","Evaluation protocol":"Linear Probing","Information loss ratio":0.5}. This record does not assert independent reproduction.

### DINO

S\_{.5}: 64.7. Result ID: 698e9eb6ffc3901de09f322c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bb51e209131cea2fbe0.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ViT-S/16","Pre-training epochs":"800","Evaluation protocol":"Linear Probing","Information loss ratio":0.5}. This record does not assert independent reproduction.

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