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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.
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
Dual-Path Stable Soft Prompt Generation for Domain Generalization
Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding
Distilling LLM Agent into Small Models with Retrieval and Code Tools
CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention
Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces
Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO
Geometrically Regularized Transfer Learning with On-Manifold and Off-Manifold Perturbation
Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches
seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic Segmentation
DEBATE, TRAIN, EVOLVE: Self Evolution of Language Model Reasoning
Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
Learning Robust Spectral Dynamics for Temporal Domain Generalization
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization
CLIP-aware Domain-Adaptive Super-Resolution
Enriching Patent Claim Generation with European Patent Dataset
Continuous Domain Generalization
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
CEC-Zero: Chinese Error Correction Solution Based on LLM
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing
Accelerating Chain-of-Thought Reasoning: When Goal-Gradient Importance Meets Dynamic Skipping
Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions
Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection
NeuRN: Neuro-inspired Domain Generalization for Image Classification
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