Model card
DPText-DETR (ResNet50).
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark DPText-DETR (ResNet50) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | scut-ctw1500 | Computer Vision · Optical Character Recognition | precision | 91.7% | #2 | 2022-07-10 | source ↗ |
| 02 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure | 88.8% | #5 | 2022-07-10 | source ↗ |
| 03 | scut-ctw1500 | Computer Vision · Optical Character Recognition | recall | 86.2% | #5 | 2022-07-10 | 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 DPText-DETR (ResNet50) actually performs.
§ 03 · Papers
1 paper with results for DPText-DETR (ResNet50).
- 2022-07-10· Computer Vision· 3 results
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
3
results
3 of 3 rows marked verified.