# Image Classification on DTD (Transfer, Average, Last Scores)

Source: [Image Classification on DTD (Transfer, Average, Last Scores)](<https://www.sota2.com/research/sota/image-classification-on-dtd-transfer-average-last-scores>)

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

Data updated: 2026-03-12T07:37:05.843Z

Evaluation of Image Classification performance on the Describable Textures Dataset (DTD), reporting transfer, average, and final performance scores.

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) | DTD |
| Metric | Average Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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

- [Average Score](<https://www.sota2.com/research/sota/image-classification-on-dtd-transfer-average-last-scores.md?metric=Average%20Score>): Higher is better; unit: PERCENT.

- [Transfer Score](<https://www.sota2.com/research/sota/image-classification-on-dtd-transfer-average-last-scores.md?metric=Transfer%20Score>): Higher is better; unit: PERCENT.

- [Last Score](<https://www.sota2.com/research/sota/image-classification-on-dtd-transfer-average-last-scores.md?metric=Last%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Score | Result date | Report paper |
| --- | --- | --- | --- |
| Individual FT | 65.1 | Not recorded | 68fa77941e209131cea741ae |
| ConDU (LoRA) | 58.8 | Not recorded | 68fa77941e209131cea741ae |
| MoE | 58.7 | Not recorded | 68fa77941e209131cea741ae |
| ConDU (FT) | 58.3 | Not recorded | 68fa77941e209131cea741ae |
| WiSE-FT | 55.8 | Not recorded | 68fa77941e209131cea741ae |
| ZSCL | 53.5 | Not recorded | 68fa77941e209131cea741ae |
| Continual FT | 52.8 | Not recorded | 68fa77941e209131cea741ae |
| Zero-shot | 44.6 | Not recorded | 68fa77941e209131cea741ae |

### Individual FT

Average Score: 65.1. Result ID: 69b26d106dbb7075b95cb3f2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

Recorded evaluation configuration: {"Adaptation strategy":"Individual Fine-tuning"}. This record does not assert independent reproduction.

### ConDU (LoRA)

Average Score: 58.8. Result ID: 69b26d106dbb7075b95cb3f8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

Recorded evaluation configuration: {"Adaptation strategy":"LoRA"}. This record does not assert independent reproduction.

### MoE

Average Score: 58.7. Result ID: 69b26d106dbb7075b95cb3f6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73491e209131cea5b8b2.md>)

Recorded evaluation configuration: {"Continual learning method":"MoE"}. This record does not assert independent reproduction.

### ConDU (FT)

Average Score: 58.3. Result ID: 69b26d106dbb7075b95cb3f7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

Recorded evaluation configuration: {"Adaptation strategy":"Fine-tuning"}. This record does not assert independent reproduction.

### WiSE-FT

Average Score: 55.8. Result ID: 69b26d106dbb7075b95cb3f4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cd31e209131cea3601a.md>)

[Implementation](<https://github.com/mlfoundations/wise-ft>)

Recorded evaluation configuration: {"Adaptation strategy":"WiSE-FT"}. This record does not assert independent reproduction.

### ZSCL

Average Score: 53.5. Result ID: 69b26d106dbb7075b95cb3f5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70421e209131cea49f8b.md>)

Recorded evaluation configuration: {"Continual learning method":"ZSCL"}. This record does not assert independent reproduction.

### Continual FT

Average Score: 52.8. Result ID: 69b26d106dbb7075b95cb3f3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

Recorded evaluation configuration: {"Adaptation strategy":"Continual Fine-tuning"}. This record does not assert independent reproduction.

### Zero-shot

Average Score: 44.6. Result ID: 69b26d106dbb7075b95cb3f1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77941e209131cea741ae.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69581e209131cea21ad0.md>)

[Implementation](<https://github.com/OpenAI/CLIP>)

Recorded evaluation configuration: {"Adaptation strategy":"Zero-shot"}. This record does not assert independent reproduction.

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