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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/cadezzyr/paint

공식 코드

Dynamic Prompt Allocation and Tuning for Continual Test-Time Adaptation

https://github.com/cairo-thws/fedacrossplus

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Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation

https://github.com/caizhongang/waymo_kitti_converter

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Leveraging Temporal Information for 3D Detection and Domain Adaptation

https://github.com/calvinmccarter/condo-adapter

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Towards Backwards-Compatible Data with Confounded Domain Adaptation

https://github.com/camma-public/hpe-adaptor

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Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room

https://github.com/camma-public/surglatentgraph

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Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer

https://github.com/camwew/Cellular-Recognition_DA_CC

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Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View

https://github.com/camwew/tada-mi

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Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation

https://github.com/canbaoburen/CoDT

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Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition

https://github.com/canqin001/PointDAN

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PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation

https://github.com/canqin001/asda

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Semi-supervised Domain Adaptive Structure Learning

https://github.com/caoql98/GDPL

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Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research

https://github.com/caotians1/BabyAIPlusPlus

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Zero-Shot Compositional Policy Learning via Language Grounding

https://github.com/caoyu1991/CASe

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Unsupervised Domain Adaptation on Reading Comprehension

https://github.com/captain-hong/sfuda_aos

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Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation

https://github.com/capybaralet/REx_code_release

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Out-of-Distribution Generalization via Risk Extrapolation (REx)

https://github.com/carrtesy/m2n2

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When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection

https://github.com/casl-ku/heteroswitch

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HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning

https://github.com/catchxu/acsleuth

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Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond

https://github.com/caus-am/dom_adapt

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Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

https://github.com/cavin-lee/idsp

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Partial Domain Adaptation without Domain Alignment

https://github.com/cbg-ethz/bmi

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Beyond Normal: On the Evaluation of Mutual Information Estimators

https://github.com/cc-ai/climategan

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ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods

https://github.com/cc-ai/mila-simulated-floods

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ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods

https://github.com/ccc870206/3d-pl

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3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling

https://github.com/cchen-cc/SIFA

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Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

https://github.com/cchen-cc/sfda-dpl

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Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling

https://github.com/ccied/ugforum-analysis

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Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation

https://github.com/ccilab-doshisha/sdjc

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Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence Generation

https://github.com/ccj5351/MS-Nets

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Matching-space Stereo Networks for Cross-domain Generalization

https://github.com/ccsasuke/man

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Multinomial Adversarial Networks for Multi-Domain Text Classification

https://github.com/ccxu-ustc/sam

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Semantic-Aware Mixup for Domain Generalization

https://github.com/cdtrans/cdtrans

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CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

https://github.com/cfredinh/coda

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Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation

https://github.com/cfuchs2023/oga

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Online Gaussian Test-Time Adaptation of Vision-Language Models

https://github.com/ch-andrei/hdr-iqa-dom-adapt

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Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range Displays

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