# Image Classification on ImageNet-R-20 (Target)

Source: [Image Classification on ImageNet-R-20 (Target)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-r-20-target>)

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

Data updated: 2026-05-21T11:48:18.941Z

Evaluation of Image Classification performance on the ImageNet-R-20 (Target) dataset, measured using specific target accuracies (D\_tar,X).

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-R-20 (Target) |
| Metric | Accuracy (D\_tar,1) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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 (D\_tar,1)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-r-20-target.md?metric=Accuracy%20(D_tar%2C1)>): Higher is better; unit: PERCENT.

- [Accuracy (D\_tar,2)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-r-20-target.md?metric=Accuracy%20(D_tar%2C2)>): Higher is better; unit: PERCENT.

- [Accuracy (D\_tar,3)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-r-20-target.md?metric=Accuracy%20(D_tar%2C3)>): Higher is better; unit: PERCENT.

- [Accuracy (D\_tar,4)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-r-20-target.md?metric=Accuracy%20(D_tar%2C4)>): Higher is better; unit: PERCENT.

- [Accuracy (D\_tar,5)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-r-20-target.md?metric=Accuracy%20(D_tar%2C5)>): Higher is better; unit: PERCENT.

- [Average Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-r-20-target.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (D\_tar,1) | Result date | Report paper |
| --- | --- | --- | --- |
| MAGMAX | 84 | Not recorded | 6a0e9173f984739ed67389bc |
| Baseline | 83 | Not recorded | 6a0e9173f984739ed67389bc |
| TIES-Merging | 83 | Not recorded | 6a0e9173f984739ed67389bc |
| Tunable MAGMAX | 83 | Not recorded | 6a0e9173f984739ed67389bc |
| Tunable MAGMAX | 83 | Not recorded | 6a0e9173f984739ed67389bc |
| Random Mix | 82 | Not recorded | 6a0e9173f984739ed67389bc |
| Average | 82 | Not recorded | 6a0e9173f984739ed67389bc |

### MAGMAX

Accuracy (D\_tar,1): 84. Result ID: 6a0ef0fcfbc373592c0747af.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74521e209131cea610c2.md>)

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

### Baseline

Accuracy (D\_tar,1): 83. Result ID: 6a0ef0fcfbc373592c0747ab.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

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

### TIES-Merging

Accuracy (D\_tar,1): 83. Result ID: 6a0ef0fcfbc373592c0747ae.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71091e209131cea4ecd8.md>)

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

### Tunable MAGMAX

Accuracy (D\_tar,1): 83. Result ID: 6a0ef0fcfbc373592c0747b0.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

Recorded evaluation configuration: {"Tuning Type":"OT"}. This record does not assert independent reproduction.

### Tunable MAGMAX

Accuracy (D\_tar,1): 83. Result ID: 6a0ef0fcfbc373592c0747b1.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

Recorded evaluation configuration: {"Tuning Type":"Label"}. This record does not assert independent reproduction.

### Random Mix

Accuracy (D\_tar,1): 82. Result ID: 6a0ef0fcfbc373592c0747ac.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74521e209131cea610c2.md>)

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

### Average

Accuracy (D\_tar,1): 82. Result ID: 6a0ef0fcfbc373592c0747ad.

[Reporting paper](<https://www.sota2.com/research/paper/6a0e9173f984739ed67389bc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ce11e209131cea3679c.md>)

[Implementation](<https://github.com/mlfoundations/model-soups>)

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

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