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dagan

[ACM MM 2020] Dual Attention GANs for Semantic Image Synthesis

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

danet-keras

keras-Dual Attention Network for Scene Segmentation

darnet-cd

The source code of DARNet with Pytorch implementation； Remote sensing change detection

dasnet

data-science-competition

该仓库用于记录和定期提供各大数据科学竞赛的赛事消息和原创baseline，思路分享以及博主的一些竞赛心得和学习资料等. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

dclgan

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deep-unet-for-satellite-image-segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

deeplabv3-tensorflow

使用deeplab_v3模型对遥感图像进行分割

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

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

detr

End-to-End Object Detection with Transformers

dfn-tensorflow

This repo is the tensorflow implementation of Discriminative Feature Network (DFN)

dfnet

Keras implementation of "DFNet: Discriminative feature extraction and integration network for salient object detection"

dmra

Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".

dsamnet

Codes for “A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection”

dsmscn

Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

dtc

Semi-supervised Medical Image Segmentation through Dual-task Consistency

dtcdscn

the implementation of the paper"Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model "

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

end-to-end-cd-for-vhr-satellite-image

The project aims to contribute to geoscience community

epsanet

EPSANet：An Efficient Pyramid Split Attention Block on Convolutional Neural Network

escnet

ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very High Resolution Remote Sensing Images