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Domain Generalization
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Meta Curvature-Aware Minimization for Domain Generalization
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset
Learning Latent Spaces for Domain Generalization in Time Series Forecasting
Guidance Not Obstruction: A Conjugate Consistent Enhanced Strategy for Domain Generalization
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
Towards Robust and Fair Vision Learning in Open-World Environments
Learning to Reason via Self-Iterative Process Feedback for Small Language Models
CAT: Class Aware Adaptive Thresholding for Semi-Supervised Domain Generalization
Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization
GAQAT: gradient-adaptive quantization-aware training for domain generalization
From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation
A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models
SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning
Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation
Is Large-Scale Pretraining the Secret to Good Domain Generalization?
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding
A Cross-Scene Benchmark for Open-World Drone Active Tracking
Actions and Objects Pathways for Domain Adaptation in Video Question Answering
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
On the Generalization of Handwritten Text Recognition Models
OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
MLDGG: Meta-Learning for Domain Generalization on Graphs
Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging
Federated Domain Generalization via Prompt Learning and Aggregation
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation
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