AlibabaResearch / AlibabaResearch/AdvancedLiterateMachinery

Verify evals on Papers with Code

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Hi,

Niels here from the open-source team at Hugging Face. Congratulations on your work!

I've made the [paper](https://paperswithcode.co/paper/2308.12774) and [10 verified paper-native evaluations](https://paperswithcode.co/paper/2308.12774#results) available on Papers with Code.

The paper is part of the [Scene Text Recognition](https://paperswithcode.co/tasks/scene-text-recognition) task page.

The LISTER-Bh results currently rank fourth on three multi-entry leaderboards: [COCO-Text](https://paperswithcode.co/benchmark/coco-text?task=scene-text-recognition&eval=14646), [IC19-ArT](https://paperswithcode.co/benchmark/ic19-art?task=scene-text-recognition&eval=14645), and [Uber-Text](https://paperswithcode.co/benchmark/uber-text?task=scene-text-recognition&eval=14647).

Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected? The imported rows are tied to the paper or its official release artifacts; comparison-table baselines were not added.

You can also edit the task, methods, project page, and GitHub URL directly from the paper page using your Hugging Face account.

Kind regards,

Niels

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