# Image Classification on ImageNet-1k (val) (T1/T5 Threshold Accuracy and AuC)

Source: [Image Classification on ImageNet-1k (val) (T1/T5 Threshold Accuracy and AuC)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc>)

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

Data updated: 2026-02-26T06:07:16.390Z

Evaluation of Image Classification performance on the validation split of ImageNet-1K, reporting Top-1 and Top-5 accuracy across various thresholds (0%, 30%, 50%, 78%) and Area Under Curve (AuC).

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-1k (val) |
| Metric | Top-1 Accuracy @ 0% Threshold |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [Top-1 Accuracy @ 0% Threshold](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Top-1%20Accuracy%20%40%200%25%20Threshold>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy @ 0% Threshold](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Top-5%20Accuracy%20%40%200%25%20Threshold>): Higher is better; unit: PERCENT.

- [Top-1 Accuracy @ 30% Threshold](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Top-1%20Accuracy%20%40%2030%25%20Threshold>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy @ 30% Threshold](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Top-5%20Accuracy%20%40%2030%25%20Threshold>): Higher is better; unit: PERCENT.

- [Top-1 Accuracy @ 50% Threshold](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Top-1%20Accuracy%20%40%2050%25%20Threshold>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy @ 50% Threshold](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Top-5%20Accuracy%20%40%2050%25%20Threshold>): Higher is better; unit: PERCENT.

- [Top-1 Accuracy @ 78% Threshold](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Top-1%20Accuracy%20%40%2078%25%20Threshold>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy @ 78% Threshold](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Top-5%20Accuracy%20%40%2078%25%20Threshold>): Higher is better; unit: PERCENT.

- [Area Under Curve (AuC)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-val-t1-t5-threshold-accuracy-and-auc.md?metric=Area%20Under%20Curve%20(AuC)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy @ 0% Threshold | Result date | Report paper |
| --- | --- | --- | --- |
| CViT | 83.11 | Not recorded | 692d2113d6b0dd33429316ba |
| RViT | 83.1 | Not recorded | 692d2113d6b0dd33429316ba |
| ViT | 82.91 | Not recorded | 692d2113d6b0dd33429316ba |
| ViT+C | 82.84 | Not recorded | 692d2113d6b0dd33429316ba |
| DynamicViT | 81.74 | Not recorded | 692d2113d6b0dd33429316ba |

### CViT

Top-1 Accuracy @ 0% Threshold: 83.11. Result ID: 6995e4273badfaffe6ebf6ff.

[Reporting paper](<https://www.sota2.com/research/paper/692d2113d6b0dd33429316ba.md>)

[Method origin paper](<https://www.sota2.com/research/paper/692d2113d6b0dd33429316ba.md>)

[Implementation](<https://github.com/wguo-ai/CoP>)

Recorded evaluation configuration: {"Training Mask":"Collapse order"}. This record does not assert independent reproduction.

### RViT

Top-1 Accuracy @ 0% Threshold: 83.1. Result ID: 6995e4273badfaffe6ebf6fe.

[Reporting paper](<https://www.sota2.com/research/paper/692d2113d6b0dd33429316ba.md>)

Recorded evaluation configuration: {"Training Mask":"Random"}. This record does not assert independent reproduction.

### ViT

Top-1 Accuracy @ 0% Threshold: 82.91. Result ID: 6995e4273badfaffe6ebf6fb.

[Reporting paper](<https://www.sota2.com/research/paper/692d2113d6b0dd33429316ba.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a0b1e209131cea25b04.md>)

[Implementation](<https://github.com/google-research/vision_transformer>)

Recorded evaluation configuration: {"Masking":"Random during inference"}. This record does not assert independent reproduction.

### ViT+C

Top-1 Accuracy @ 0% Threshold: 82.84. Result ID: 6995e4273badfaffe6ebf6fd.

[Reporting paper](<https://www.sota2.com/research/paper/692d2113d6b0dd33429316ba.md>)

Recorded evaluation configuration: {"Masking":"Collapse masks","Training":"Randomly masked"}. This record does not assert independent reproduction.

### DynamicViT

Top-1 Accuracy @ 0% Threshold: 81.74. Result ID: 6995e4273badfaffe6ebf6fc.

[Reporting paper](<https://www.sota2.com/research/paper/692d2113d6b0dd33429316ba.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b1b1e209131cea2c45a.md>)

Recorded evaluation configuration: {"Backbone":"DeiT-B","Type":"Token-pruning"}. This record does not assert independent reproduction.

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