arXiv:2002.11656
Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras
원문 초록
This paper presents a novel fusion of low-level approaches for dimensionality reduction into an effective approach for high-level objects in neuromorphic camera data called Inceptive Event Time-Surfaces (IETS). IETSs overcome several limitations of conventional time-surfaces by increasing robustness to noise, promoting spatial consistency, and improving the temporal localization of (moving) edges. Combining IETS with transfer learning improves state-of-the-art performance on the challenging problem of object classification utilizing event camera data.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning Techniques
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces
Facial Beauty Analysis Using Distribution Prediction and CNN Ensembles
Transfer Learning for Classification of Alzheimer's Disease Based on Genome Wide Data
Chest X-Ray Images Classification with CNN
DocXClassifier: High Performance Explainable Deep Network for Document Image Classification
토론
이 논문과 연결된 포럼 글이 아직 없습니다.