August 09, 2023 review A systematic review of deep learning frameworks for moving object segmentation Multimedia Tools and Applications DOI: 10.1007/s11042-023-16417-3 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 3 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking 2020 IEEE Winter Conference on Applications of Computer Vision conference-paper Computer Science Video Surveillance and Tracking Methods Open access 61 citations D 2 Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) conference-paper Computer Science Advanced Neural Network Applications 27 citations Reducing the Annotation Effort for Video Object Segmentation Datasets 2021 IEEE Winter Conference on Applications of Computer Vision conference-paper Computer Science Advanced Neural Network Applications Open access cited by 1 patent 21 citations 3 results