# Image Classification on ImageNet (Donor/Receiver Accuracy Change Analysis)

Source: [Image Classification on ImageNet (Donor/Receiver Accuracy Change Analysis)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis>)

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

Data updated: 2026-04-07T06:47:40.547Z

Evaluation of Image Classification performance on the ImageNet dataset, focusing on the change in Top-1 accuracy metrics between specified 'Donor' and 'Receiver' model configurations or experimental conditions.

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 |
| Metric | Donor Best Top-1 Accuracy Change |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 1 of 1 |
| 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

- [Donor Best Top-1 Accuracy Change](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis.md?metric=Donor%20Best%20Top-1%20Accuracy%20Change>): Higher is better; unit: SCALAR.

- [Donor Worst Top-1 Accuracy Change](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis.md?metric=Donor%20Worst%20Top-1%20Accuracy%20Change>): Higher is better; unit: SCALAR.

- [Donor Mean Top-1 Accuracy Change](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis.md?metric=Donor%20Mean%20Top-1%20Accuracy%20Change>): Higher is better; unit: SCALAR.

- [Donor Positive Rate](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis.md?metric=Donor%20Positive%20Rate>): Higher is better; unit: PERCENT.

- [Receiver Best Top-1 Accuracy Change](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis.md?metric=Receiver%20Best%20Top-1%20Accuracy%20Change>): Higher is better; unit: SCALAR.

- [Receiver Worst Top-1 Accuracy Change](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis.md?metric=Receiver%20Worst%20Top-1%20Accuracy%20Change>): Higher is better; unit: SCALAR.

- [Receiver Mean Top-1 Accuracy Change](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis.md?metric=Receiver%20Mean%20Top-1%20Accuracy%20Change>): Higher is better; unit: SCALAR.

- [Receiver Positive Rate](<https://www.sota2.com/research/sota/image-classification-on-imagenet-donor-receiver-accuracy-change-analysis.md?metric=Receiver%20Positive%20Rate>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Donor Best Top-1 Accuracy Change | Result date | Report paper |
| --- | --- | --- | --- |
| Quantization Vector Patching | 62.39 | Not recorded | 69d48f9f7d0172140ec743b3 |

### Quantization Vector Patching

Donor Best Top-1 Accuracy Change: 62.39. Result ID: 69d4a88b47f34ce924bbe1f6.

[Reporting paper](<https://www.sota2.com/research/paper/69d48f9f7d0172140ec743b3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69d48f9f7d0172140ec743b3.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Protocol":"Optimized quantization vector scaling","Baseline":"Relative to vanilla PTQ"}. This record does not assert independent reproduction.

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