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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/xxgege/nico-plus

공식 코드

NICO++: Towards Better Benchmarking for Domain Generalization

https://github.com/xxxliu95/RA_FA_Cardiac

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Disentangled Representations for Domain-generalized Cardiac Segmentation

https://github.com/xxxupeng/adl

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Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching

https://github.com/xyanchen/wifi-csi-sensing-benchmark

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AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning

https://github.com/xyupeng/beta

공식 코드

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

https://github.com/yafuly/CoGnition

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On Compositional Generalization of Neural Machine Translation

https://github.com/yanan-wang-cs/clonedperson

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Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification

https://github.com/yangsenqiao/vida

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ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

https://github.com/yaniker/one-shot-skill-assessment-in-high-stakes-domains-with-limited-data-via-meta-learning

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One-shot skill assessment in high-stakes domains with limited data via meta learning

https://github.com/yankeegsj/bla

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Bi-level Alignment for Cross-Domain Crowd Counting

https://github.com/yaoyueduzhen/DADA

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Dual Adversarial Domain Adaptation

https://github.com/yashsharma/mani

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MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

https://github.com/yasserben/clouds

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Collaborating Foundation Models for Domain Generalized Semantic Segmentation

https://github.com/yasserben/datum

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One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models

https://github.com/yawencui/cmoa

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Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters

https://github.com/yazdaniamir38/Depth-guided-Image-Relighting

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NTIRE 2021 Depth Guided Image Relighting Challenge

https://github.com/ybzh/efdm

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Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

https://github.com/ycarobot/ttap

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From Question to Exploration: Test-Time Adaptation in Semantic Segmentation?

https://github.com/ycq091044/manydg

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ManyDG: Many-domain Generalization for Healthcare Applications

https://github.com/ycyinchao/rdvp-msd

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Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation

https://github.com/ydk122024/pediatricsgpt

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PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications

https://github.com/yeshaokai/Calibrator-Domain-Adaptation

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Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation

https://github.com/yftah89/Neural-SCL-Domain-Adaptation

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Neural Structural Correspondence Learning for Domain Adaptation

https://github.com/yftah89/Neural-SCLDomain-Adaptation

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Neural Structural Correspondence Learning for Domain Adaptation

https://github.com/yfzhang114/Environment-Label-Smoothing

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Free Lunch for Domain Adversarial Training: Environment Label Smoothing

https://github.com/yfzhang114/adanpc

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Domain-Specific Risk Minimization for Out-of-Distribution Generalization

https://github.com/ygjwd12345/TransDA

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Transformer-Based Source-Free Domain Adaptation

https://github.com/yhldhit/WMMD-Caffe

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Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

https://github.com/yhzhu99/tamer

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TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning

https://github.com/yichaolu/traffic4cast2021

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Learning to Transfer for Traffic Forecasting via Multi-task Learning

https://github.com/yifangao112/desam

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DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

https://github.com/yifei-he/goat

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Gradual Domain Adaptation: Theory and Algorithms

https://github.com/yihaoang/tsgbench

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TSGBench: Time Series Generation Benchmark

https://github.com/yihong-97/oass

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Occlusion-Aware Seamless Segmentation

https://github.com/yihong-97/source-free-iapc

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Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning

https://github.com/yihong-97/source-free_iapc

공식 코드

Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning

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