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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://github.com/jo-wang/dpo

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DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection

https://github.com/jo-wang/otta_vit_survey

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In Search of Lost Online Test-time Adaptation: A Survey

https://github.com/jo-wang/tca

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Is Less More? Exploring Token Condensation as Training-free Adaptation for CLIP

https://github.com/jo-wang/vdd

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Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation

https://github.com/joanagoncalveslab/DCAST

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DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning

https://github.com/joapolarbear/cdmpp

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CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs

https://github.com/joe817/gcal

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GCAL: Adapting Graph Models to Evolving Domain Shifts

https://github.com/joelesol/casnet

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Sim-to-Real Domain Adaptation for Deformation Classification

https://github.com/joelesol/dranet-swd

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Sliced Wasserstein Discrepancy in Disentangling Representation and Adaptation Networks for Unsupervised Domain Adaptation

https://github.com/joeyz0z/lance

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Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification

https://github.com/joffery/M-ADA

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Learning to Learn Single Domain Generalization

https://github.com/johntailor/dotra

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Domain Transformer: Predicting Samples of Unseen, Future Domains

https://github.com/jonas-lippl/fact

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FACT: Federated Adversarial Cross Training

https://github.com/jonasannuscheit/rpdac_for_midog22

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Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge

https://github.com/jone1222/DG-Feature-Stylization

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Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization

https://github.com/joonh-kim/etm

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Continual Unsupervised Domain Adaptation for Semantic Segmentation

https://github.com/joonho-jang/uadal

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Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation

https://github.com/joonholee-research/muda

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Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models

https://github.com/josangyoung/official-poem

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POEM: Polarization of Embeddings for Domain-Invariant Representations

https://github.com/joshnguyen99/partialot

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On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

https://github.com/joshualpf/lowbridge

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Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation

https://github.com/joshuaomolegan/tta-for-3d-fetal-subcortical-segmentation

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Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound

https://github.com/jotabravo/spacecraft-tta

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Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View Synthesis

https://github.com/jotabravo/spacecraft-uda

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Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination

https://github.com/joyebright/da-qe-eamt2023

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Tailoring Domain Adaptation for Machine Translation Quality Estimation

https://github.com/joyhsu0504/darcnn

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DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

https://github.com/jozerozero/subspace_identification

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Subspace Identification for Multi-Source Domain Adaptation

https://github.com/jswati31/cuda-ghr

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CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection

https://github.com/judydnguyen/pardon-feddg

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PARDON: Privacy-Aware and Robust Federated Domain Generalization

https://github.com/julessanchez/3dlabelprop

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Domain generalization of 3D semantic segmentation in autonomous driving

https://github.com/juliaiwhite/mixed-effects-transformers

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Mixed-effects transformers for hierarchical adaptation

https://github.com/juliangebele/CARLANE

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CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains

https://github.com/junchen-yu/internet

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InterNet: Unsupervised Cross-modal Homography Estimation Based on Interleaved Modality Transfer and Self-supervised Homography Prediction

https://github.com/junha1125/rld-semisda

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Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data

https://github.com/junia3/LayerwiseTTA

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Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation

https://github.com/junkataoka/avatar

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AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain

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