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Unsupervised Domain Adaptation

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하위 태스크: 1
평가표: 49
보존된 평가 기록: 393

Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.

Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

코드

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

https://github.com/saltoricristiano/cosmix-uda

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CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

https://github.com/saltoricristiano/gipso-sfouda

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GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

https://github.com/sarmadfismael/lrm_i2i

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Unsupervised Domain Adaptation for Semantic Segmentation using One-shot Image-to-Image Translation via Latent Representation Mixing

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/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/shahaf1313/procst

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ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer

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/shaoyuanlo/artuda

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Exploring Adversarially Robust Training for Unsupervised Domain Adaptation

https://github.com/shaoyuanlo/stpl

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Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation

https://github.com/shengcailiao/QAConv

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Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting

https://github.com/shengcao-cao/cmt

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Contrastive Mean Teacher for Domain Adaptive Object Detectors

https://github.com/shengkuangcn/mscda

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MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets

https://github.com/shenzheng2000/instance-warp

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Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation

https://github.com/shinyflight/sfda2

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SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation

https://github.com/shishuaihu/ccsdg

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Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation

https://github.com/shishuaihu/prosfda

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ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

https://github.com/shreyasrajesh/DA-Object-Detection

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Domain Adaptation for Object Detection using SE Adaptors and Center Loss

https://github.com/shreydesai/adaptive-ensembling

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Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis

https://github.com/shuxy0120/adatriplet-ra

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AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain Adaptation

https://github.com/simarkareer/unifiedvideoda

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We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline

https://github.com/sinashish/mensa_mtda

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MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds

https://github.com/sohyun-l/fifo

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FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

https://github.com/spiresearch/utr

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Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation

https://github.com/sschrod/adbcr

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Adversarial Distribution Balancing for Counterfactual Reasoning

https://github.com/sstary/ssrs

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Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation

https://github.com/sulaimanvesal/PointCloudUDA

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Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation

https://github.com/summer1278/multi-source-attention

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Multi-source Attention for Unsupervised Domain Adaptation

https://github.com/sureli/dicyr_code

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Disentanglement by Cyclic Reconstruction

https://github.com/susaha/ctrl-uda

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Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation

https://github.com/syscv/ciss

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Condition-Invariant Semantic Segmentation

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