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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/jamycheung/trans4pass

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Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

https://github.com/janesjanes/sketchy

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Deep Shape Matching

https://github.com/jayaram-r/domain-adaptation-autoencoder

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Few-Shot Domain Adaptation For End-to-End Communication

https://github.com/jaychempan/ETS

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Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection

https://github.com/jayparanjape/barlow-adaptor

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Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos

https://github.com/jbarnesspain/domain_blse

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Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains

https://github.com/jbr-ai-labs/traffic4cast-2021

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Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation

https://github.com/jbr97/urm

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Single Domain Generalization for Few-Shot Counting via Universal Representation Matching

https://github.com/jc043/cpl

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Continual Predictive Learning from Videos

https://github.com/jcyk/copyisallyouneed

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Neural Machine Translation with Monolingual Translation Memory

https://github.com/jefferythewind/era-splitting-notebook-examples

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Era Splitting: Invariant Learning for Decision Trees

https://github.com/jefferythewind/scikit-learn-erasplit

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Era Splitting: Invariant Learning for Decision Trees

https://github.com/jensle97/lion-xa

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LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training

https://github.com/jeremyxsc/dmf

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Deep Multimodal Fusion for Generalizable Person Re-identification

https://github.com/jeslev/OpenNIR-Lifelong

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Studying Catastrophic Forgetting in Neural Ranking Models

https://github.com/jetwev/domain-adaptation

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Unsupervised Domain Adaptation with Deep Neural-Network

https://github.com/jeya-maria-jose/on-the-fly-adaptation

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On-the-Fly Test-time Adaptation for Medical Image Segmentation

https://github.com/jh-liang/information-subtraction

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Information Subtraction: Learning Representations for Conditional Entropy

https://github.com/jh-yi/mv-match

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MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies

https://github.com/jhb86253817/PIPNet

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Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild

https://github.com/jhb86253817/uda_med_landmark

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Unsupervised Domain Adaptation for Anatomical Landmark Detection

https://github.com/jhoffman/cycada_release

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CyCADA: Cycle-Consistent Adversarial Domain Adaptation

https://github.com/jhornauer/embedded_domain_adaptation

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Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware

https://github.com/jhyun17/cowa-jmds

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Confidence Score for Source-Free Unsupervised Domain Adaptation

https://github.com/jiachengzuo/ralad

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RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning

https://github.com/jiachens/ModelNet40-C

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Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions

https://github.com/jiahaochen1/calibration

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Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution

https://github.com/jiangfeng1124/transfer

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Multi-Source Domain Adaptation with Mixture of Experts

https://github.com/jiangqn/kster

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Learning Kernel-Smoothed Machine Translation with Retrieved Examples

https://github.com/jiangzhengkai/proca

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Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation

https://github.com/jiarenx/semigcl

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Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy

https://github.com/jiaw-z/dkt-stereo

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Robust Synthetic-to-Real Transfer for Stereo Matching

https://github.com/jiawangbai/HAT

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Improving Vision Transformers by Revisiting High-frequency Components

https://github.com/jiaxin-ye/emo-dna

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Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition

https://github.com/jichengyuan/cooperitive_students

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Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection

https://github.com/jiehonglin/self-dpdn

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Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks

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