Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"

Related tags

Deep LearningImplicit-Semantic-Response-Alignment
Overview

Implicit-Semantic-Response-Alignment

Pytorch implementation for "Implicit Semantic Response Alignment for Partial Domain Adaptation"

Prerequisites

  • python == 3.6.8
  • pytorch ==1.1.0
  • orchvision == 0.3.0
  • numpy, scipy, PIL, argparse, tqdm, pandas

Framework

Alt text

Datasets

The datasets are set up with the same data protocol as PADA. Please download Office31, Office-Home and ImageNet-Caltech datasets and change the path in the image list files (*.txt) in the './data/' directory.

Running

Run the code for PDA on Office-Home for Task (A -> C)

python run_partial_new.py --s 0 --t 1 --dset office_home --net ResNet50 --cot_weight 1. --output run1 --gpu_id 0 --rcwt 1. --alwt 1. --fdim 512 --edim 256 --seed 2019

Acknowledgement

This project is built on the open-source implementation BA3US

Owner
GitHub Repository
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