Beast code in Giters

ZhiliZhang's repositories

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.

Language:Python23 3 3

AQSNet

On the automatic quality assessment of annotated sample data for object extraction from remote sensing imagery

Language:PythonMIT12 20

IBS-AQSNet

Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery

Language:Python4 20

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

Language:PythonNOASSERTION3 10

ESFFNet

Enhanced Semantic-positional Feature Fusion Network via Diverse Pre-trained Encoders for Remote Sensing Image Water-body Segmentation

2 10

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.

2 1 1

Learning-Deep-Learning-papers

Paper reading notes on Deep Learning and Machine Learning

Language:Jupyter Notebook2 10

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.

100

AerialDetection

Language:PythonApache-2.0000

deeplabv3plus

deeplabv3plus2018:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Language:Python010

DeepLearning-500-questions

GPL-3.0000

e2ec

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

Language:PythonNOASSERTION000

level_set

Image segmentation based on a level set evolution equation.

Language:MATLABMIT010

simplified-deeplearning

Simplified implementations of deep learning related works

Language:Jupyter Notebook010

zmister_post

州的先生博客文章教程汇总

010

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Language:Jupyter NotebookMIT000

Grounded-Segment-Anything

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Language:Jupyter NotebookApache-2.0000