# Object category learning and recognition on Washington RGB-D Object dataset

Source: [Object category learning and recognition on Washington RGB-D Object dataset](<https://www.sota2.com/research/sota/object-category-learning-and-recognition-on-washington-rgb-d-object-dataset>)

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

Data updated: 2026-02-26T05:21:00.507Z

Evaluation of object category learning and recognition performance on the Washington RGB-D Object dataset, utilizing metrics such as #QCI, ALC, AIC, GCA, and APA.

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 | Object category learning and recognition |
| Dataset (including any stated split) | Washington RGB-D Object dataset |
| Metric | #QCI |
| Unit | SCALAR |
| 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

- [#QCI](<https://www.sota2.com/research/sota/object-category-learning-and-recognition-on-washington-rgb-d-object-dataset.md?metric=%23QCI>): Higher is better; unit: SCALAR.

- [ALC](<https://www.sota2.com/research/sota/object-category-learning-and-recognition-on-washington-rgb-d-object-dataset.md?metric=ALC>): Higher is better; unit: SCALAR.

- [AIC](<https://www.sota2.com/research/sota/object-category-learning-and-recognition-on-washington-rgb-d-object-dataset.md?metric=AIC>): Higher is better; unit: SCALAR.

- [GCA](<https://www.sota2.com/research/sota/object-category-learning-and-recognition-on-washington-rgb-d-object-dataset.md?metric=GCA>): Higher is better; unit: SCALAR.

- [APA](<https://www.sota2.com/research/sota/object-category-learning-and-recognition-on-washington-rgb-d-object-dataset.md?metric=APA>): Higher is better; unit: SCALAR.

## Recorded results

| Method | #QCI | Result date | Report paper |
| --- | --- | --- | --- |
| Proposed Approach | 1344.4 | Not recorded | 68fa661e1e209131cea0e77f |
| Local-LDA | 613 | Not recorded | 68fa661e1e209131cea0e77f |
| BOW | 411.8 | Not recorded | 68fa661e1e209131cea0e77f |
| RACE | 382.1 | Not recorded | 68fa661e1e209131cea0e77f |
| LDA | 262.6 | Not recorded | 68fa661e1e209131cea0e77f |

### Proposed Approach

#QCI: 1344.4. Result ID: 698cdc258b517eb4331d3bc6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa661e1e209131cea0e77f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa661e1e209131cea0e77f.md>)

[Implementation](<https://youtu.be/zjucGaAwnTE>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Local-LDA

#QCI: 613. Result ID: 698cdc258b517eb4331d3bc5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa661e1e209131cea0e77f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### BOW

#QCI: 411.8. Result ID: 698cdc258b517eb4331d3bc3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa661e1e209131cea0e77f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### RACE

#QCI: 382.1. Result ID: 698cdc258b517eb4331d3bc2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa661e1e209131cea0e77f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### LDA

#QCI: 262.6. Result ID: 698cdc258b517eb4331d3bc4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa661e1e209131cea0e77f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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