tim-learn/BA3US

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Rank 656,625 (Top 13 %)
Language
Python
License
MIT License
Created over 4 years ago
Updated over 1 year ago

tim-learn/BA3US

tim-learn

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

awesome-test-time-adaptation

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

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"

DINE

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

ATDOC

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

NOUN

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

Generate_list

Generate custom text files for dataloader within UDA methods

UEO

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

CLIP_models

GeoNet23_casia_tim

1st in the ICCV-2023 GeoUniDA challenge

attack-and-defense

codebook of various attacks and defenses

paper_reading

tim-learn

tim-learn.github.io