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Blender-BlenderProc Examples overview-Advanced Examples 06/05 Blender-BlenderProc Examples overview-Basic Examples 06/04 Paper-BlenderProc 06/03 Software-Blender & Python (21-30) 06/01 5 月 Software-Blender & Python (11-20) 05/31 Software-Blender & Python (1-10) 05/31 Unity-Perception Synthetic Data-Features Overview 05/25 Python-处理 SOLO 数据集 05/25 Unity-Perception Synthetic Data-2 05/25 Unity-Perception Synthetic Data-1 05/23 Paper-UnrealText-Synthesizing Realistic Scene Text Images from the Unreal World 05/23 Dataset-收集一下文本的各种数据集 05/21 Paper-Medical SAM Adapter-Adapting Segment Anything Model for Medical Image Segmentation 05/21 Pytorch-放一放之前看的一些代码 05/20 ML-李宏毅-機器如何生成圖像 05/20 ML-李宏毅-【生成式AI】大模型 + 大資料 = 神奇結果？ 05/20 ML-李宏毅-機器如何生成文句 05/19 ML-李宏毅-機器學習基本概念介紹 05/19 ML-李宏毅-正確認識 ChatGPT 05/17 Paper-EAST-An Efficient and Accurate Scene Text Detector 05/13 Server-中原人工智能计算中心（各种寄） 05/08 Paper-Segment Everything Everywhere All at Once 05/07 Paper-Rethinking Text Segmentation：A Novel Dataset and A Text-Specific Refinement Approach 05/04 4 月 Paper-Resolution-robust Large Mask Inpainting with Fourier Convolutions 04/26 Paper-Segment Anything in Medical Images 04/26 Software-Stable Diffusion 04/26 Paper-Segment Anything 04/25 Paper-Inpaint Anything 04/25 Paper-Synthetic Data for Text Localisation in Natural Images 04/21 Plan-对论文的目前想法 04/13 Paper-SEED-Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition 04/10 Paper-第 6 周和第 7 周也是被要求看论文然后看不懂的两周 04/07 Paper-VSR-A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations 04/05 3 月 Pytorch-目标检测 YOLOv5 开源代码项目调试与讲解实战-小土堆 03/31 Pytorch-深度学习快速入门教程（绝对通俗易懂！）【小土堆】 03/27 Paper-Text Recognition in the Wild-A Survey 03/26 Paper-第 5 周整理下论文，制定下学习计划 03/24 Paper-这两天看的Text Detection的论文 03/22 ML-李宏毅-Lecture 10-Attack 03/19 Homework-看得头晕的整理论文任务 03/19 Paper-整理下这段时间看的论文 03/13 2 月 ML-李宏毅-Lecture 9-Explainable AI 02/28 DL-深度学习进阶-自然语言处理-5-RNN 02/25 DL-深度学习进阶-自然语言处理-4-word2vec高速化 02/24 DL-深度学习进阶-自然语言处理-3-word2vec 02/23 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 02/23 DL-深度学习进阶-自然语言处理-1-神经网络的复习 02/23 DL-深度学习入门-基于Python的理论与实现-8-深度学习 02/23 DL-深度学习入门-基于Python的理论与实现-7-卷积神经网络 02/23 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 02/22 DL-深度学习入门-基于Python的理论与实现-5-误差反向传播法 02/21 DL-深度学习入门-基于Python的理论与实现-4-神经网络的学习 02/21 DL-深度学习入门-基于Python的理论与实现-3-神经网络 02/20 DL-深度学习入门-基于Python的理论与实现-2-感知机 02/20 ML-李宏毅-Lecture 8-Auto-encoder Anomaly Detection 02/08 ML-李宏毅-Lecture 7-Self-supervised learning for Speech and Image 02/07 ML-李宏毅-Recent Advance of Self-supervised learning for NLP 02/06 ML-李宏毅-Lecture 6-Generation 02/05 1 月 Homework-快冀了该写寒假作业了不然就寄了 01/31 ML-李宏毅-Lecture 5-Sequence to sequence 01/30 Python-一些我常用的小操作 01/28 ML-李宏毅-Lecture 4-Sequence as input 01/27 ML-李宏毅-Lecture 3-Image as input 01/25 ML-李宏毅-Lecture 2-What to do if my network fails to train 01/17 ML-李宏毅-Lecture 1-Introduction of Deep Learning 01/13 Python-Building a neural network FROM SCRATCH (no Tensorflow or Pytorch, just numpy & math) 01/13 Latex-latex中文教程-西北农林科技大学-耿楠 01/09 Paper-U-Net-Convolutional Networks for Biomedical Image Segmentation 01/02 2022 年 12 月 Paper-Handwritten Optical Character Recognition (OCR)-A Comprehensive Systematic Literature Review (SLR) 12/20 DIP-Python tutorials for image processing and machine learning(73-78)-U-net 12/17 DIP-Python tutorials for image processing and machine learning(70-71)-Deep Learning 12/17 DIP-Python tutorials for image processing and machine learning(69)-BOVW 12/17 DIP-Python tutorials for image processing and machine learning(68)-SVM 12/16 DIP-Python tutorials for image processing and machine learning(59-67)-Random Forest Classifier 12/15 Homework-什么狗屁洋文 12/12 Paper-Handwritten digit recognition-investigation of normalization and feature extraction techniques 12/09 Math-Fouriter 12/07 DIP-Convolutions in image processing 12/06 DIP-Python tutorials for image processing and machine learning(55-58)-Supervised Learning 12/03 DIP-Python tutorials for image processing and 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