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snow’s Projects


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CenterUnet

CenterUnet: Unet version of CenterNet Objects As Points with mask branch.


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Change-Detection-Review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.


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contrib

Implementations of ideas from recent papers


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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


maskrcnn-benchmark photo

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.


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note

日常收集的资料和代码


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pytorch-ricap

PyTorch implementation of RICAP (Random Image Cropping And Patching)


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semseg

常用的语义分割架构结构综述以及代码复现


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STANet

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection


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TernausNet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

Read more here: Source link