Pinned Repositories
AerialDetection
AQSNet
On the automatic quality assessment of annotated sample data for object extraction from remote sensing imagery
ESFFNet
Enhanced Semantic-positional Feature Fusion Network via Diverse Pre-trained Encoders for Remote Sensing Image Water-body Segmentation
EVLab-SS-dataset
EVLab-SS dataset is a semantic segmentation benchmark proposed and leaded by Prof. Xiangyun Hu and created by Dr. Mi Zhang and other EVLab members.
HRNet-Semantic-Segmentation
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
IBS-AQSNet
Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery
ICODet
A new identical-class object detection network (ICODet) is proposed, leveraging image similarities by using a comprehensive analysis of both semantic and spatial features across support target features and queried image features.
Learning-Deep-Learning-papers
Paper reading notes on Deep Learning and Machine Learning
MECNet
The network is to identify the outline of water-bodies accurately from very high resolution (VHR) remote sensing imagery, particularly for complicated and challenging water-body samples.
zmister_post
州的先生博客文章教程汇总
zhilyzhang's Repositories
zhilyzhang/MECNet
The network is to identify the outline of water-bodies accurately from very high resolution (VHR) remote sensing imagery, particularly for complicated and challenging water-body samples.
zhilyzhang/AQSNet
On the automatic quality assessment of annotated sample data for object extraction from remote sensing imagery
zhilyzhang/ESFFNet
Enhanced Semantic-positional Feature Fusion Network via Diverse Pre-trained Encoders for Remote Sensing Image Water-body Segmentation
zhilyzhang/IBS-AQSNet
Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery
zhilyzhang/HRNet-Semantic-Segmentation
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
zhilyzhang/Learning-Deep-Learning-papers
Paper reading notes on Deep Learning and Machine Learning
zhilyzhang/ICODet
A new identical-class object detection network (ICODet) is proposed, leveraging image similarities by using a comprehensive analysis of both semantic and spatial features across support target features and queried image features.
zhilyzhang/EVLab-SS-dataset
EVLab-SS dataset is a semantic segmentation benchmark proposed and leaded by Prof. Xiangyun Hu and created by Dr. Mi Zhang and other EVLab members.
zhilyzhang/zmister_post
州的先生博客文章教程汇总
zhilyzhang/AerialDetection
zhilyzhang/deeplabv3plus
deeplabv3plus2018:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
zhilyzhang/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
zhilyzhang/e2ec
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
zhilyzhang/level_set
Image segmentation based on a level set evolution equation.
zhilyzhang/simplified-deeplearning
Simplified implementations of deep learning related works
zhilyzhang/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
zhilyzhang/Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything