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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/wangxinyilinda/causal-balancing-for-domain-generalization

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Causal Balancing for Domain Generalization

https://github.com/wangyiqi/pmpo

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Multi-Prompt with Depth Partitioned Cross-Modal Learning

https://github.com/wangys16/ohda

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Syn-to-Real Unsupervised Domain Adaptation for Indoor 3D Object Detection

https://github.com/wangyz1608/knowledge-distillation-via-nd

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Improving Knowledge Distillation via Regularizing Feature Norm and Direction

https://github.com/wangzhichuan123/teda

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TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment

https://github.com/wangzhuo2019/ssan

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Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing

https://github.com/wasidennis/AdaptSegNet

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Learning to Adapt Structured Output Space for Semantic Segmentation

https://github.com/waychin-weiqin/CoMM

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Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment

https://github.com/wbrun0/LawngNLI

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LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval

https://github.com/weijiawu/SyntoReal_STD

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Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild

https://github.com/weikangda/talc

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Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers

https://github.com/wellecks/naturalproofs

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NaturalProofs: Mathematical Theorem Proving in Natural Language

https://github.com/wenbowen123/catgrasp

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CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

https://github.com/wengweng001/CLAMP_torch

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Cross-Domain Continual Learning via CLAMP

https://github.com/wengweng001/leopard

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Autonomous Cross Domain Adaptation under Extreme Label Scarcity

https://github.com/wenkehuang/fccl

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Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning

https://github.com/wenlve-zhou/bipc

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BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption

https://github.com/wenlve-zhou/guidance-training

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Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation

https://github.com/wenqiwenqi1/DRCN

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Deep Residual Correction Network for Partial Domain Adaptation

https://github.com/wenruxue/detta

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From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation

https://github.com/wentaol86/awesome-body-language

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A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation

https://github.com/wentaotan/interleaved-learning

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Style Interleaved Learning for Generalizable Person Re-identification

https://github.com/wenwenyu/tcm

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Turning a CLIP Model into a Scene Text Detector

https://github.com/wenyingduan/HTSF

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Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks

https://github.com/whbdmu/dsca

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Unsupervised Domain Adaptive Person Search via Dual Self-Calibration

https://github.com/whq-xxh/Active-GTV-Seg

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Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals

https://github.com/whq-xxh/sfada-uwf-slo

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Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset

https://github.com/willi-menapace/acids-clustering-domain-shift

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Learning to Cluster under Domain Shift

https://github.com/williamstoto/imo

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IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models

https://github.com/winstonhutiger/2d_vae_uda_for_3d_sythesis

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Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach

https://github.com/wjko2/Domain-Agnostic-Sentence-Specificity-Prediction

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Domain Agnostic Real-Valued Specificity Prediction

https://github.com/wjq-learning/sleepdg

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Generalizable Sleep Staging via Multi-Level Domain Alignment

https://github.com/wkklavis/dapsam

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Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation

https://github.com/wlin-at/cycda

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CycDA: Unsupervised Cycle Domain Adaptation from Image to Video

https://github.com/wlin-at/vitta

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Video Test-Time Adaptation for Action Recognition

https://github.com/wm-bupt/STSN

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Unsupervised Structure-Texture Separation Network for Oracle Character Recognition

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