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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/sascha-kirch/VoloGAN

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VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data

https://github.com/sbelharbi/bah-dataset

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BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change

https://github.com/scheckmedia/centernet-uda

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Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object Detection

https://github.com/scikit-adaptation/skada-bench

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SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities

https://github.com/scjjb/midog_domain_adaptation

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Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images

https://github.com/sclincha/xrce_msda_da_regularization

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An Extended Framework for Marginalized Domain Adaptation

https://github.com/scott-yjyang/difftta

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Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal

https://github.com/scott-yjyang/hcdg

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HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation

https://github.com/scottjingtt/srosda

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Towards Novel Target Discovery Through Open-Set Domain Adaptation

https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord

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Towards contrast-agnostic soft segmentation of the spinal cord

https://github.com/scylj1/EPD

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Enriching Patent Claim Generation with European Patent Dataset

https://github.com/sdoerrich97/vits-are-generative-models

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Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

https://github.com/se111/side

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SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation

https://github.com/seabearlmx/cdpcl

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Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic Segmentation

https://github.com/sean-rowan/tan

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Transductive Adversarial Networks (TAN)

https://github.com/seanie12/SWEP

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Learning to Perturb Word Embeddings for Out-of-distribution QA

https://github.com/seanie12/mrqa

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Domain-agnostic Question-Answering with Adversarial Training

https://github.com/seobbro/tta-depth-completion

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Test-Time Adaptation for Depth Completion

https://github.com/seominseok0429/w4c22-simple-baseline-for-weather-forecasting-using-spatiotemporal-context-aggregation-network

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Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift

https://github.com/seq-to-mind/DDP_parsing

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Improving Multi-Party Dialogue Discourse Parsing via Domain Integration

https://github.com/serbanstan/mas3-continual

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Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations

https://github.com/serbanstan/secure-muda

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Secure Domain Adaptation with Multiple Sources

https://github.com/serbanstan/uda-medical-image-segmentation-sfs

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Domain Adaptation for the Segmentation of Confidential Medical Images

https://github.com/serenabooth/Bayes-TrEx

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Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example

https://github.com/sfu-discourse-lab/SOCC

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Classifying Constructive Comments

https://github.com/sfu-mial/lesionelevation

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Lesion Elevation Prediction from Skin Images Improves Diagnosis

https://github.com/shachoi/RobustNet

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RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

https://github.com/shahaf1313/procst

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ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer

https://github.com/shahinakk/lg_sdg

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Language Guided Domain Generalized Medical Image Segmentation

https://github.com/shahtalebi/SAND-mask

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SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization

https://github.com/shaker82/mssda

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Multi-Source Survival Domain Adaptation

https://github.com/shallowdream204/SODA-SR

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Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer

https://github.com/shanice-l/st-cubism

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Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition

https://github.com/shankhanil006/tta-iqa

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Test Time Adaptation for Blind Image Quality Assessment

https://github.com/shannonai/gpt-cls-carp

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Text Classification via Large Language Models

https://github.com/shanzard/ros-sam

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ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object

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