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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/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/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/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/shaoshitong/NICO

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Bootstrap Generalization Ability from Loss Landscape Perspective

https://github.com/sharonchokuwa/VAE-DG

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Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders

https://github.com/sharonchokuwa/dg-adr

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Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading

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/shengcheng/aba

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Adversarial Bayesian Augmentation for Single-Source Domain Generalization

https://github.com/shimmer93/mpcount

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Single Domain Generalization for Crowd Counting

https://github.com/shiralab/opendg-eval

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Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization

https://github.com/shishicode/agot

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Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning

https://github.com/shishuaihu/ccsdg

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

https://github.com/shogi880/DPLCLIP

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Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains

https://github.com/showlab/datasetdm

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DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

https://github.com/showlab/sct

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SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels

https://github.com/shuvenduroy/coprompt

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Consistency-guided Prompt Learning for Vision-Language Models

https://github.com/sinamalakouti/CDDMSL

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Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment

https://github.com/siqi-feng/dnn-behavioral-regularity

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Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization

https://github.com/siyuanliii/masa

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Matching Anything by Segmenting Anything

https://github.com/siyuanyan1/epvt

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EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

https://github.com/siyuanyan1/pldg

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Prompt-driven Latent Domain Generalization for Medical Image Classification

https://github.com/skjack/diffusionfake

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DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion

https://github.com/sky-visionx/cracksegmentation

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Distribution-aware Noisy-label Crack Segmentation

https://github.com/socialfoundations/causal-features

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Do causal predictors generalize better to new domains?

https://github.com/sofiabroome/temporal-shape-dataset

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Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition

https://github.com/songruiecho/tacit

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TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification

https://github.com/sonyai/ratp

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DEJA VU: Continual Model Generalization For Unseen Domains

https://github.com/spandan-madan/human_visual_diet

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Improving generalization by mimicking the human visual diet

https://github.com/ssssshwan/tldr

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Texture Learning Domain Randomization for Domain Generalized Segmentation

https://github.com/starbucks-drinker/mi-segnet

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MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization

https://github.com/startracker0/physaug

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PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection

https://github.com/stedamiano/anf-siren-identification

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Frequency Tracking Features for Data-Efficient Deep Siren Identification

https://github.com/stegmuel/ScoreNet

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ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification

https://github.com/strohmayerj/datta

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DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition

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