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ZhiliZhang's Projects

aqsnet icon aqsnet

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

deeplabv3plus icon deeplabv3plus

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

deeplearning-500-questions icon 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[email protected] 版权所有,违权必究 Tan 2018.06

e2ec icon e2ec

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

esffnet icon esffnet

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

evlab-ss-dataset icon 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.

grounded-segment-anything icon grounded-segment-anything

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

hrnet-semantic-segmentation icon 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 icon ibs-aqsnet

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

icodet icon 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.

level_set icon level_set

Image segmentation based on a level set evolution equation.

mecnet icon 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.

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