142 Open source projects that are alternatives of or similar to VisDA2020

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

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

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

A collection of AWESOME things about domian adaptation

Implementation of Domain Adaption in One-Shot Learning

Adapt Transformer-based language models to new text domains

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

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.

resource collection for transfer learning!

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

python 3 pytorch implementation of DANN

Synthetic Minority Over-Sampling Technique for Regression

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

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

Unofficial pytorch implementation of algorithms for domain adaptation

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

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

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

stylegan-nada.github.io/

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)

Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

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

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

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

Python toolbox for transfer learning.

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

A minimal pytorch package implementing a gradient reversal layer.

Synthetic Data Generation for mixed-type, multivariate time series.

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Library and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system

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

Benchmarking synthetic data generation methods.

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification (ICCV 2019, Oral)

Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification

《迁移学习简明手册》LaTex源码

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

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

The Gretel Python Client allows you to interact with the Gretel REST API.

Repository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)

Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

Evaluate real and synthetic datasets with each other

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

Synthetic data for computer vision. An open source toolkit using Blender and Python.

The Declarative Data Generator