2025
10
2024
12
11
08
06
04
2023
12
10
- Paper-SynthTIGER-Synthetic Text Image GEneratoR Towards Better Text Recognition Models
- Paper-Polygonal approximation of digital planar curve using novel significant measure
- Paper-MixNet-Toward Accurate Detection of Challenging Scene Text in the Wild
- Paper-Building outline extraction from ALS point clouds using medial axis
- Exercise-实验相关
09
08
07
- Paper-Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
- Paper-Shape Robust Text Detection With Progressive Scale Expansion Network
- Paper-Detecting Curve Text in the Wild-New Dataset and New Solution
- Paper-Real-Time Scene Text Detection with Differentiable Binarization
- Server-MindOCR
- Paper-TotalText
06
05
- Software-Blender & Python (11-20)
- Software-Blender & Python (1-10)
- Python-处理 SOLO 数据集
- Paper-Medical SAM Adapter-Adapting Segment Anything Model for Medical Image Segmentation
- Pytorch-放一放之前看的一些代码
- Paper-EAST-An Efficient and Accurate Scene Text Detector
- Server-中原人工智能计算中心（各种寄）
- Paper-Rethinking Text Segmentation：A Novel Dataset and A Text-Specific Refinement Approach
04
03
02
- DL-深度学习进阶-自然语言处理-5-RNN
- DL-深度学习进阶-自然语言处理-4-word2vec高速化
- DL-深度学习进阶-自然语言处理-3-word2vec
- DL-深度学习进阶-自然语言处理-2-自然语言和单词的分布式表示
- DL-深度学习进阶-自然语言处理-1-神经网络的复习
- DL-深度学习入门-基于Python的理论与实现-8-深度学习
- DL-深度学习入门-基于Python的理论与实现-7-卷积神经网络
- DL-深度学习入门-基于Python的理论与实现-6-与学习相关的技巧
- DL-深度学习入门-基于Python的理论与实现-5-误差反向传播法
- DL-深度学习入门-基于Python的理论与实现-4-神经网络的学习
- DL-深度学习入门-基于Python的理论与实现-3-神经网络
- DL-深度学习入门-基于Python的理论与实现-2-感知机
01
2022
12
- DIP-Python tutorials for image processing and machine learning(70-71)-Deep Learning
- DIP-Python tutorials for image processing and machine learning(73-78)-U-net
- DIP-Python tutorials for image processing and machine learning(69)-BOVW
- DIP-Python tutorials for image processing and machine learning(68)-SVM
- DIP-Python tutorials for image processing and machine learning(59-67)-Random Forest Classifier
- DIP-Convolutions in image processing
- DIP-Python tutorials for image processing and machine learning(55-58)-Supervised Learning
- DIP-Python tutorials for image processing and machine learning(50-54)-Unsupervised Learning
- DIP-Python tutorials for image processing and machine learning(43-49)-Regression
11
- DIP-Python tutorials for image processing and machine learning(36-42)-Pandas
- DIP-Introductory python tutorials for image processing(51-58)-Image Segmentation
- DIP-Introductory python tutorials for image processing(48-50)-Image Quality
- DIP-Introductory python tutorials for image processing(46-47)-Image Registration
- Python-Regular Expressions made Easy
- DIP-Introductory python tutorials for image processing(44-45)-Color Spaces
- DIP-Introductory python tutorials for image processing(42-43)-CLAHE
- DIP-Introductory python tutorials for image processing(29-41)-Image Filtering
- DIP-Introductory python tutorials for image processing(22-28)-Python Libraries
10
09
08
07
- Python-人工智能数学基础15
- Python-人工智能数学基础14
- Python-人工智能数学基础13
- Python-人工智能数学基础12
- Python-人工智能数学基础11
- Python-人工智能数学基础10
- Python-人工智能数学基础(7-9)
- Python-人工智能数学基础(5-6)
- Python-人工智能数学基础(2-4)
- Python-莫烦python学习笔记（multithreading）
- Python-莫烦python学习笔记（multiprocessing）
- Python-莫烦python学习笔记（matplotlib）
- Python-莫烦python学习笔记（pandas）
- Python-莫烦python学习笔记（numpy）