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PL's Projects

da icon da

Unsupervised Domain Adaptation Papers and Code

dance icon dance

repository for Universal Domain Adaptation through Self-supervision

daprompt icon daprompt

Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

dassl.pytorch icon dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

datasetfactorization icon datasetfactorization

PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.

dcgan.torch icon dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

dcgan_code icon dcgan_code

Deep Convolutional Generative Adversarial Networks

deconvnet icon deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

decouplednet icon decouplednet

DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deepbox icon deepbox

Code release for DeepBox paper in ICCV 2015

deepcompression-pytorch icon deepcompression-pytorch

Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

deepcontext icon deepcontext

Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'

deeplab_v2 icon deeplab_v2

基于v2版本的deeplab,使用VGG16模型,在VOC2012,Pascal-context,NYU-v2等多个数据集上进行训练

deeplabv3plus icon deeplabv3plus

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

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