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

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

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

Data updated: 2026-04-07T06:47:40.528Z

Evaluation of Image Classification performance on the Tiny ImageNet dataset, focusing on accuracy changes observed between donor and receiver models.

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) | Tiny ImageNet |
| Metric | Donor Best Top-1 Accuracy Change |
| Unit | PERCENT |
| 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-tiny-imagenet-donor-receiver-accuracy-change-metrics.md?metric=Donor%20Best%20Top-1%20Accuracy%20Change>): Higher is better; unit: PERCENT.

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

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

- [Donor Pos. %](<https://www.sota2.com/research/sota/image-classification-on-tiny-imagenet-donor-receiver-accuracy-change-metrics.md?metric=Donor%20Pos.%20%25>): Higher is better; unit: PERCENT.

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

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

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

- [Receiver Pos. %](<https://www.sota2.com/research/sota/image-classification-on-tiny-imagenet-donor-receiver-accuracy-change-metrics.md?metric=Receiver%20Pos.%20%25>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Donor Best Top-1 Accuracy Change | Result date | Report paper |
| --- | --- | --- | --- |
| Quantization Vector Patching | 58.45 | Not recorded | 69d48f9f7d0172140ec743b3 |

### Quantization Vector Patching

Donor Best Top-1 Accuracy Change: 58.45. Result ID: 69d4a88b47f34ce924bbe1f5.

[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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