# Fine-grained Image Classification on Flowers Harmonic Mean

Source: [Fine-grained Image Classification on Flowers Harmonic Mean](<https://www.sota2.com/research/sota/fine-grained-image-classification-on-flowers-harmonic-mean>)

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

Data updated: 2026-02-26T05:31:59.372Z

Evaluation of Fine-grained Image Classification performance on the Flowers Harmonic Mean dataset, reporting Accuracy.

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 | Fine-grained Image Classification |
| Dataset (including any stated split) | Flowers Harmonic Mean |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 12 of 12 |
| 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](<https://www.sota2.com/research/sota/fine-grained-image-classification-on-flowers-harmonic-mean.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MMRL | 86.72 | Not recorded | 69326746d6b0dd33429344c6 |
| FARL | 86.65 | Not recorded | 69326746d6b0dd33429344c6 |
| MMA | 85.48 | Not recorded | 69326746d6b0dd33429344c6 |
| TCP | 85.23 | Not recorded | 69326746d6b0dd33429344c6 |
| MetaPrompt | 84.52 | Not recorded | 69326746d6b0dd33429344c6 |
| PLOT | 83.99 | Not recorded | 69326746d6b0dd33429344c6 |
| KgCoOp | 83.65 | Not recorded | 69326746d6b0dd33429344c6 |
| ProVP | 83.2 | Not recorded | 69326746d6b0dd33429344c6 |
| MaPLe | 82.56 | Not recorded | 69326746d6b0dd33429344c6 |
| CoCoOp | 81.71 | Not recorded | 69326746d6b0dd33429344c6 |
| CoOp | 79.44 | Not recorded | 69326746d6b0dd33429344c6 |
| CLIP | 74.83 | Not recorded | 69326746d6b0dd33429344c6 |

### MMRL

Accuracy: 86.72. Result ID: 699893e85698665ec4f5bee4.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77a11e209131cea747a9.md>)

[Implementation](<https://github.com/yunncheng/MMRL>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### FARL

Accuracy: 86.65. Result ID: 699893e85698665ec4f5bee5.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### MMA

Accuracy: 85.48. Result ID: 699893e85698665ec4f5bee3.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74c21e209131cea6392b.md>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### TCP

Accuracy: 85.23. Result ID: 699893e85698665ec4f5bee2.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72821e209131cea56e22.md>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### MetaPrompt

Accuracy: 84.52. Result ID: 699893e85698665ec4f5bee1.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ef01e209131cea43013.md>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### PLOT

Accuracy: 83.99. Result ID: 699893e85698665ec4f5bede.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e921e209131cea40c41.md>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### KgCoOp

Accuracy: 83.65. Result ID: 699893e85698665ec4f5bedd.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ee91e209131cea42d7a.md>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### ProVP

Accuracy: 83.2. Result ID: 699893e85698665ec4f5bee0.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74641e209131cea616eb.md>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### MaPLe

Accuracy: 82.56. Result ID: 699893e85698665ec4f5bedf.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ef21e209131cea4311c.md>)

[Implementation](<https://github.com/muzairkhattak/multimodal-prompt-learning>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### CoCoOp

Accuracy: 81.71. Result ID: 699893e85698665ec4f5bedc.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d8c1e209131cea3a831.md>)

[Implementation](<https://github.com/KaiyangZhou/CoOp>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### CoOp

Accuracy: 79.44. Result ID: 699893e85698665ec4f5bedb.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d8b1e209131cea3a814.md>)

[Implementation](<https://github.com/KaiyangZhou/CoOp>)

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

### CLIP

Accuracy: 74.83. Result ID: 699893e85698665ec4f5beda.

[Reporting paper](<https://www.sota2.com/research/paper/69326746d6b0dd33429344c6.md>)

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

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

Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction.

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