Python影像辨識筆記(三十五):Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning

2021–12–27更新 Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation,也是基於MME程式碼修改而成的

介紹

By Yanwei Liu
By Yanwei Liu
By Yanwei Liu
By Yanwei Liu

Arxiv

OpenReview

ICLR 2021的審核論文(double-blind review)

環境

# 程式碼請使用Pytorch 0.4.1版本git clone https://github.com/kailigo/pacl
cd pacl
pip install -r requirements.txt
pip install git+https://github.com/pytorch/tnt.git@master
conda install pytorch=0.4.1 cuda92 -c pytorch
conda install -c anaconda cudatoolkit==9.0

訓練

CUDA_VISIBLE_DEVICES=0 python main.py --beta 1.0 --alpha 0.1 --threshold 0.8 --align_type proto --log_file r2s_proto_resnet_num3_semi_kld_hard --kld --labeled_hard --trg_shots 3 --num 3 --net resnet34 --source real --target sketch

測試

CUDA_VISIBLE_DEVICES=0 python eval.py --dataset multi --source real --target sketch --checkpath pretrained --net resnet34 --num 3

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store