149 Open source projects that are alternatives of or similar to Learning Via Translation

This is Top 3 Code for the Person ReID Compitition of NAIC

Multi-Target, Multi-Camera Tracking

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

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

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

Deep Transfer Learning Papers

Domain adaptation networks for digit recognitioning

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

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

Open source person re-identification library in python

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Meta learning with BERT as a learner

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

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

Tensorflow Implementation on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification

Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)

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

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

Adversarial Discriminative Domain Adaptation in Chainer

Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification (AAAI2019)

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

A collection of implementations of deep domain adaptation algorithms

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

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://www.atapour.co.uk/papers/CVPR2018.pdf).

Adversarially Occluded Samples for Person Re-identification, CVPR 2018

POT : Python Optimal Transport

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

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

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

Joint Detection and Identification Feature Learning for Person Search

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

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Unofficial pytorch implementation of algorithms for domain adaptation

Awesome Person Re-identification

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

python 3 pytorch implementation of DANN

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.

pytorch implementation of Domain-Adversarial Training of Neural Networks

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

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

Awesome Multitask Learning Resources

Adapt Transformer-based language models to new text domains

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

ICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)

🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽

Awesome Person Re-Identification

《迁移学习简明手册》LaTex源码

SOTA Re-identification Methods and Toolbox

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

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].