701 Open source projects that are alternatives of or similar to Clan

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Awesome Domain Adaptation Python Toolbox

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

A collection of AWESOME things about domian adaptation

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Tensorflow Implementation of open set domain adaptation by backpropagation

Reimplementing cool papers in PyTorch...

Attending to Discriminative Certainty for Domain Adaptation

Transfer-Learning-Library

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Adapt Transformer-based language models to new text domains

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

resource collection for transfer learning!

Awesome Multitask Learning Resources

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Domain-Adversarial Neural Network in Tensorflow

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Deep Transfer Learning Papers

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Python toolbox for transfer learning.

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Easily train or fine-tune SOTA computer vision models with one open source training library

PyTorch implementation of "Pyramid Scene Parsing Network".

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Library of transfer learners and domain-adaptive classifiers.

SegAN: Semantic Segmentation with Adversarial Learning

《迁移学习简明手册》LaTex源码

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf). CVPR2018

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

DeepLab-LargeFOV implemented in tensorflow

Image classification for everyone.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)