A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (TPAMI))

Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)

[CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation

Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.

Open-Set Domain Adaptation through Self-Supervision, using a ROS task this repository contains the python implementation of the final project for the course of Data Analysis & Artificial Intelligence

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).

The relabeled triple-classified dataset for ball screw defects used in the journal paper “Domain-unique group- and its subgroups-aware fault diagnostics for machine components: An open-set domain adaptation approach”

Domain Adaptation with Dynamic Open-Set Targets

# Mind-the-GapMind the Gap aims to enhance Chain of Thought (CoT) tuning for better AI performance. Join us in exploring innovative solutions and contributing to the project! 🐙🌟