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Domain Generalization

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하위 태스크: 3
평가표: 21
보존된 평가 기록: 570

The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain

Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning

코드

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

https://github.com/anan0110692/geoai-foundgen

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A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning

https://github.com/andrewcaunes/ia4markings

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seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic Segmentation

https://github.com/aniketde/DomainGeneralizationMarginal

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Domain Generalization by Marginal Transfer Learning

https://github.com/aniketde/ZeroShotDG

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Zero Shot Domain Generalization

https://github.com/anonymouse-9c53tp182bvz/vireo

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Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation

https://github.com/ans92/tlac

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TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification

https://github.com/arcadelab/DeepDRR

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SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments

https://github.com/aristotelisballas/biodg

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Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks

https://github.com/aristotelisballas/cyclemix

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CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data

https://github.com/aristotelisballas/gga

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Gradient-Guided Annealing for Domain Generalization

https://github.com/aristotelisballas/m2cl

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Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization

https://github.com/arnav0400/vit-slim

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One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

https://github.com/asahi417/tner

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T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition

https://github.com/asbjrnmunk/amaes

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AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

https://github.com/ashafahi/free_adv_train

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Adversarial Training for Free!

https://github.com/askerlee/segtran

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Medical Image Segmentation Using Squeeze-and-Expansion Transformers

https://github.com/astra-vision/prolip

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Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia

https://github.com/atuannguyen/dirt

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Domain Invariant Representation Learning with Domain Density Transformations

https://github.com/atutej/RARe

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RARe: Retrieval Augmented Retrieval with In-Context Examples

https://github.com/auniquesun/point-prc

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Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis

https://github.com/avakanski/Evaluation-of-Complexity-Measures-for-Deep-Learning-Generalization-in-Medical-Image-Analysis

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Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis

https://github.com/awslabs/rag-qa-arena

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RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering

https://github.com/backpropagator/langdaug

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LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation

https://github.com/baidu/DuReader

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DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine

https://github.com/baithebest/drain

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Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks

https://github.com/bartn8/vppdc

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Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization

https://github.com/beepkh/supmer

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Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization

https://github.com/berlino/tensor2struct-public

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Learning to Synthesize Data for Semantic Parsing

https://github.com/bethgelab/robustness

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Improving robustness against common corruptions by covariate shift adaptation

https://github.com/bfshi/InfoDrop

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Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

https://github.com/bghojogh/Fisher-Triplet-Contrastive-Loss

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Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks

https://github.com/bghojogh/Histopathology-Magnification-Generalization

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Magnification Generalization for Histopathology Image Embedding

https://github.com/bghojogh/Siamese-Network-Histopathology

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Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study

https://github.com/bgswaroop/pushpull-conv

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PushPull-Net: Inhibition-driven ResNet robust to image corruptions

https://github.com/bhanukamanesha/ramen

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Improved RAMEN: Towards Domain Generalization for Visual Question Answering

https://github.com/biomedia-mbzuai/condisr

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ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization

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