tim-learn

ATDOC

code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

BA3US

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

CLIP_models

DINE

code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

Generate_list

Generate custom text files for dataloader within UDA methods

NOUN

code released for our TIP 2021 paper "Adversarial Domain Adaptation with Prototype-based Normalized Output Conditioner"

SHOT

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

SHOT-plus

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

UEO

ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"

tim-learn/awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

tim-learn/SHOT

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

tim-learn/SHOT-plus

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

tim-learn/DINE

code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

tim-learn/ATDOC

code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"

tim-learn/BA3US

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

tim-learn/NOUN

code released for our TIP 2021 paper "Adversarial Domain Adaptation with Prototype-based Normalized Output Conditioner"

tim-learn/UEO

ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"

tim-learn/Generate_list

Generate custom text files for dataloader within UDA methods

tim-learn/CLIP_models

tim-learn/GeoNet23_casia_tim

1st in the ICCV-2023 GeoUniDA challenge

tim-learn/attack-and-defense

codebook of various attacks and defenses

tim-learn/paper_reading

tim-learn/tim-learn

tim-learn/tim-learn.github.io

tim-learn/ProDDing