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Style Generalization

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation

GenerTTS: Pronunciation Disentanglement for Timbre and Style Generalization in Cross-Lingual Text-to-Speech

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

Domain Generalization for Mammographic Image Analysis with Contrastive Learning

Integral Probability Metrics PAC-Bayes Bounds

A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts

Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning

DLOW: Domain Flow for Adaptation and Generalization

Night-to-Day Image Translation for Retrieval-based Localization

Complementary Attributes: A New Clue to Zero-Shot Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.