Pinned Repositories
Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AugSeg
[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
awesome-knowledge-graph
整理知识图谱相关学习资料
Awesome-Semi-Supervised-Semantic-Segmentation
A summary of recent semi-supervised semantic segmentation methods
CISC-R
[TPAMI 2022] Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation
Data-Visualization
Data Visualization with Python
deeplabv3-Tensorflow
使用deeplab_v3模型对遥感图像进行分割
lizhenhao123's Repositories
lizhenhao123/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
lizhenhao123/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
lizhenhao123/AugSeg
[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
lizhenhao123/Awesome-Semi-Supervised-Semantic-Segmentation
A summary of recent semi-supervised semantic segmentation methods
lizhenhao123/CISC-R
[TPAMI 2022] Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation
lizhenhao123/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
lizhenhao123/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
lizhenhao123/Few-Shot-Semantic-Segmentation-Papers
Few Shot Semantic Segmentation Papers
lizhenhao123/Financial-Knowledge-Graphs
小型金融知识图谱构建流程
lizhenhao123/GeoSeg-1
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
lizhenhao123/iMAS
[CVPR'23] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
lizhenhao123/Knowledge-and-Topology
lizhenhao123/KnowledgeGraph
knowledge graph知识图谱,从零开始构建知识图谱
lizhenhao123/KnowledgeGraphCourse
东南大学《知识图谱》研究生课程
lizhenhao123/LSST
The official PyTorch implementation of our paper (Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation)
lizhenhao123/MaskCLIP
Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)
lizhenhao123/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
lizhenhao123/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
lizhenhao123/ov-seg
This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
lizhenhao123/paper-reading
深度学习经典、新论文逐段精读
lizhenhao123/PASS
The baseline method for LUSS task.
lizhenhao123/practice
lizhenhao123/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
lizhenhao123/SAN
Open-vocabulary Semantic Segmentation
lizhenhao123/SCAN
[CVPR 2024] The repository contains the official implementation of "Open-Vocabulary Segmentation with Semantic-Assisted Calibration"
lizhenhao123/ST-PlusPlus
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
lizhenhao123/techniques
Techniques for deep learning with satellite & aerial imagery
lizhenhao123/U2PL
[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
lizhenhao123/UniMatch
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
lizhenhao123/yolo3-pytorch
这是一个yolo3-pytorch的源码，可以用于训练自己的模型。