arXiv:2210.14507
공식 코드 · Papers with Code
SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles
원문 초록
We present a simple domain generalization baseline, which wins second place in both the common context generalization track and the hybrid context generalization track respectively in NICO CHALLENGE 2022. We verify the founding in recent literature, domainbed, that ERM is a strong baseline compared to recent state-of-the-art domain generalization methods and propose SimpleDG which includes several simple yet effective designs that further boost generalization performance. Code is available at https://github.com/megvii-research/SimpleDG
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing
Prompt-Free Conditional Diffusion for Multi-object Image Augmentation
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability
Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person Matching
토론
이 논문과 연결된 포럼 글이 아직 없습니다.