Projects in Awesome Lists by SCUT-DLVCLab
A curated list of projects in awesome lists by SCUT-DLVCLab .
https://github.com/scut-dlvclab/document-ai-recommendations
Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.
document-ai document-understanding key-information-extraction table-structure-recognition visual-information-extraction
Last synced: 13 Mar 2025
https://github.com/scut-dlvclab/gpt-4v_ocr
Evaluation of the Optical Character Recognition (OCR) capabilities of GPT-4V(ision)
Last synced: 14 May 2025
https://github.com/scut-dlvclab/rfund
[MM'2024] Official release of RFUND introduced in the MM'2024 paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction"
document-ai document-understanding key-information-extraction ocr visual-information-extraction
Last synced: 13 Mar 2025
https://github.com/scut-dlvclab/dolphin
[IEEE TIFS 2024] Official repository of "Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach".
Last synced: 12 Apr 2025
https://github.com/scut-dlvclab/scut-ensexam
SCUT-EnsExam is a real-world handwritten text erasure dataset for examination paper scenarios, which consists of 545 examination paper images. The dataset is randomly divided into training set and test set of 430 and 115 images, respectively.
Last synced: 13 Mar 2025
https://github.com/scut-dlvclab/pavenet
[IEEE TPAMI 2025] Official repository of "Privacy-Preserving Biometric Verification With Handwritten Random Digit String".
Last synced: 22 Apr 2025
https://github.com/scut-dlvclab/mnist-99.7-accuracy-with-pytorch
A CNN model builds with Pytorch and reaches 99.7% accuracy
Last synced: 15 Dec 2024
https://github.com/scut-dlvclab/megahan97k
MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories
Last synced: 14 May 2025
https://github.com/scut-dlvclab/acp-rag
[NAACL 2025] Large-Scale Corpus Construction and Retrieval-Augmented Generation for Ancient Chinese Poetry: New Method and Data Insights (ACP-Corpus; ACP-QA; ACP-RAG)
Last synced: 29 Mar 2025