Model card
CLIP4STR-L (RBU 6.5M).
Zhao et al.open-sourceUnknown paramsCLIP ViT-L/14 visual branch + cross-modal branch, trained on RBU 6.5M real data
CLIP4STR-L trained on RBU 6.5M real dataset. Published in IEEE TIP Dec 2024. arxiv:2305.14014.
§ 01 · Benchmarks
Every benchmark CLIP4STR-L (RBU 6.5M) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar-2013 | Computer Vision · Scene Text Detection | accuracy | 99.0% | #2 | 2023-05-23 | 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 CLIP4STR-L (RBU 6.5M) actually performs.
§ 03 · Papers
1 paper with results for CLIP4STR-L (RBU 6.5M).
- 2023-05-23· Computer Vision· 1 result
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
§ 04 · Related models
Other Zhao et al. models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
1
result
1 of 1 rows marked verified.