Model card
REL-RWMD k-NN.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark REL-RWMD k-NN has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | classic | Computer Vision · Optical Character Recognition | accuracy | 96.8% | #1 | 2019-12-01 | source ↗ |
| 02 | recipe | Computer Vision · Optical Character Recognition | accuracy | 56.8% | #2 | 2019-12-01 | source ↗ |
| 03 | reuters-21578 | Computer Vision · Optical Character Recognition | accuracy | 95.6% | #2 | 2019-12-01 | source ↗ |
| 04 | Computer Vision · Optical Character Recognition | accuracy | 71.0% | #2 | 2019-12-01 | source ↗ | |
| 05 | amazon | Computer Vision · Optical Character Recognition | accuracy | 93.0% | #3 | 2019-12-01 | source ↗ |
| 06 | bbcsport | Computer Vision · Optical Character Recognition | accuracy | 95.2% | #4 | 2019-12-01 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where REL-RWMD k-NN actually performs.
§ 03 · Papers
1 paper with results for REL-RWMD k-NN.
- 2019-12-01· Computer Vision· 6 results
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
6
results
6 of 6 rows marked verified.