Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
May 29, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
POT : Python Optimal Transport
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
A collection of implementations of deep domain adaptation algorithms
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
pytorch implementation of Domain-Adversarial Training of Neural Networks
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
python 3 pytorch implementation of DANN
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Domain Adaptive Faster R-CNN in PyTorch
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)
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