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caffe

Caffe: a fast open framework for deep learning.

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

coolweather

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

detnet-59

DetNet: A Backbone network for Object Detection论文DetNet-59网络结构实现 基于caffe

dupsampling

This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

echarts-wordcloud

ECharts wordcloud extension based on wordcloud2.js

fpn

Feature Pyramid Networks for Object Detection

king

pytorch-fpn

pytorch-FPN

pytorch-vdsr

VDSR (CVPR2016) pytorch implementation

spring-boot-study

about learning Spring Boot via examples. 基于 spring boot 2.x 的学习教程简洁易懂

ssim

This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images.

starfm

stfcn

Spatio-Temporal Fully Convolutional Neural Netwroks For Semantic Segmentation

sts-cnn

Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei, “Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network,” IEEE TGRS, 2018.

weather

zhangxiayan.github.io

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