Techniques for deep learning with satellite & aerial imagery

12 Weeks, 24 Lessons, AI for All!

A summary of recent semi-supervised semantic segmentation methods

东南大学《知识图谱》研究生课程

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

[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

[CVPR 2024] The repository contains the official implementation of "Open-Vocabulary Segmentation with Semantic-Assisted Calibration"

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

[CVPR'23] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation

Open-vocabulary Semantic Segmentation

小型金融知识图谱构建流程

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

knowledge graph知识图谱,从零开始构建知识图谱

Few Shot Semantic Segmentation Papers

PyTorch Tutorial for Deep Learning Researchers

The baseline method for LUSS task.

[TPAMI 2022] Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

🎓 Sharing machine learning course / lecture notes.

The official PyTorch implementation of our paper (Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation)

Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)

深度学习经典、新论文逐段精读

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 …