Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

Last update: Dec 15, 2022

Related tags

Deep Learning TVT

Overview

TVT

Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

Datasets:

Digit: MNIST, SVHN, USPS
Object: Office, Office-Home, VisDA-2017

Training:

Code of ViT is largely borrowed from ViT-pytorch

Citation:

@article{yang2021tvt,
  title={TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation},
  author={Yang, Jinyu and Liu, Jingjing and Xu, Ning and Huang, Junzhou},
  journal={arXiv preprint arXiv:2108.05988},
  year={2021}
}

Owner

GitHub Repository

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Code of TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

Related tags

Overview

TVT

Datasets:

Training:

Owner

🛠️ SLAMcore SLAM Utilities

This repository contains datasets and baselines for benchmarking Chinese text recognition.

This is a classifier which basically predicts whether there is a gun law in a state or not, depending on various things like murder rates etc.

🗣️ Microsoft Edge TTS for Home Assistant, no need for app_key

Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation

Deep Q Learning with OpenAI Gym and Pokemon Showdown

Simple and understandable swin-transformer OCR project

Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder

Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

Normalization Matters in Weakly Supervised Object Localization (ICCV 2021)

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Blender add-on: Add to Cameras menu: View → Camera, View → Add Camera, Camera → View, Previous Camera, Next Camera

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