EADST

CONTINUE READING

Code for SPIE paper - CEIR

This introduction is for the SPIE paper - Novel Receipt Recognition with Deep Learning Algorithms. In this paper, we propose an end-to-end novel receipt recognition system for capturing effective information from receipts (CEIR). The CEIR has three parts: preprocess, detection, recognition.

CONTINUE READING
CONTINUE READING
CONTINUE READING
  • 1
  • About Me
    XD
    Goals determine what you are going to be.
    Category
    标签云
    HaggingFace Windows Streamlit diffusers Domain 净利润 FP16 Algorithm Pickle Paddle Hungarian Sklearn Quantization Land Markdown Excel ChatGPT Tiktoken MD5 Template Quantize News git Google Proxy COCO BeautifulSoup YOLO Logo CEIR Linux LLAMA 音频 Data AI SQL Qwen2.5 scipy Miniforge Jetson Attention 第一性原理 Breakpoint Statistics Knowledge NLP Pytorch Web DeepStream LaTeX CC Claude Input SQLite 域名 GIT BTC DeepSeek CTC Dataset Website FlashAttention 阿里云 v2ray 云服务器 QWEN 多线程 SAM C++ Freesound uwsgi Color FP64 Ptyhon NLTK Disk Video mmap Vmess torchinfo TTS CAM PIP RGB 图标 GPTQ Jupyter Clash InvalidArgumentError uWSGI icon OCR tqdm FP8 搞笑 Ubuntu TensorRT transformers ONNX Tracking Pandas XGBoost Crawler EXCEL Bert TSV GoogLeNet hf Llama Docker Card Animate Django Python JSON Bin IndexTTS2 Safetensors CLAP 腾讯云 Diagram Baidu Interview Pillow Paper VGG-16 Permission CSV LeetCode Mixtral LoRA Password Search 关于博主 版权 Shortcut Git Qwen2 Tensor Augmentation XML GPT4 Review VPN Vim 顶会 BF16 Bitcoin 飞书 Zip Gemma ResNet-50 CUDA LLM 签证 Cloudreve CV PDB Firewall v0.dev 证件照 OpenCV Use 财报 printf Magnet 继承 Plotly NameSilo HuggingFace GGML Hilton Anaconda Rebuttal Hotel 算法题 Image2Text 公式 RAR Bipartite WebCrawler 报税 tar UI Translation VSCode Conda Agent Qwen 递归学习法 Github Base64 Michelin ModelScope 多进程 Transformers Plate llama.cpp git-lfs PDF OpenAI 图形思考法 TensorFlow Random SVR logger UNIX Heatmap FastAPI PyTorch Numpy Datetime WAN 强化学习 FP32 Distillation SPIE Math API Nginx Food PyCharm
    站点统计

    本站现有博文324篇,共被浏览819226

    本站已经建立2523天!

    热门文章
    文章归档
    回到顶部