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Domain Adaptation

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하위 태스크: 13
평가표: 58
보존된 평가 기록: 391

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

A Brief Review of Domain Adaptation

<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised Image-to-Image Translation Networks )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/aswathyve/unifieddeceptioncorpus

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UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection

https://bitbucket.org/rskothari/multiset_gaze

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EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking

https://git.unl.edu/ece-unl-images-lab/cross-domain-identification

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Cross-Domain Identification for Thermal-to-Visible Face Recognition

https://github.com/00why00/pfcd

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Prompt-Free Conditional Diffusion for Multi-object Image Augmentation

https://github.com/02bigboy/tsrp

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Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation

https://github.com/1003389754/ren

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Robust Ensembling Network for Unsupervised Domain Adaptation

https://github.com/1015206533/privacy_supporting_fall_detection

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Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation

https://github.com/1170300521/DiFa

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Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks

https://github.com/3dsift-rank/3DSIFT-Rank

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Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features

https://github.com/41enthusiast/st-saclf

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Tackling Data Bias in Painting Classification with Style Transfer

https://github.com/4dvlab/cl3d

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CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection

https://github.com/60972823l/SSL-DNLL

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Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification

https://github.com/82magnolia/ev_tta

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Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition

https://github.com/A-bone1/ESAM

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ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance

https://github.com/AI-NERC-NUPT/MEDM

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Entropy Minimization vs. Diversity Maximization for Domain Adaptation

https://github.com/AKASH2907/Forgery-Classification-via-Domain-Adaptation

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Syn2Real: Forgery Classification via Unsupervised Domain Adaptation

https://github.com/AMLab-Amsterdam/DIVA

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DIVA: Domain Invariant Variational Autoencoders

https://github.com/AMLab-Amsterdam/DataAugmentationInterventions

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Selecting Data Augmentation for Simulating Interventions

https://github.com/Abanoub-G/DIRA

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DIRA: Dynamic Domain Incremental Regularised Adaptation

https://github.com/AhmedImtiazPrio/MaGNET

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MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining

https://github.com/Albert0147/AaD_SFDA

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Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

https://github.com/Albert0147/BAIT_SFUDA

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Casting a BAIT for Offline and Online Source-free Domain Adaptation

https://github.com/Albert0147/G-SFDA

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Generalized Source-free Domain Adaptation

https://github.com/AleksCipri/DeepMergeDomainAdaptation

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DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains

https://github.com/AlexMoreo/pydci

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Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments

https://github.com/AlexOlza/DA-enhanced-searchlight

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Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery

https://github.com/AlexTheBad/AP-10K

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AP-10K: A Benchmark for Animal Pose Estimation in the Wild

https://github.com/Alexander-H-Liu/UFDN

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A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

https://github.com/AlexisGuichemerreCode/survey_hist_wsol_sfda

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Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology

https://github.com/AliBahri94/SVWA_TTA

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Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging

https://github.com/Alien9427/SAR_specific_models

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What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs

https://github.com/AltschulerWu-Lab/MuLANN

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Multi-Domain Adversarial Learning

https://github.com/Anne6645/personality_analysis

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Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation

https://github.com/Aopolin-Lv/ECSpell

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General and Domain Adaptive Chinese Spelling Check with Error Consistent Pretraining

https://github.com/AronCao49/Latte

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Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation

https://github.com/Attila94/CIConv

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Zero-Shot Day-Night Domain Adaptation with a Physics Prior

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