October 01, 2019 conference-paper PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment IEEE/CVF International Conference on Computer Vision (ICCV) DOI: 10.1109/iccv.2019.00929 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 1,445 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 From Feature Maps to Few-Shot Cell Segmentation 2025 Lecture notes in computer science conference-paper Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques 0 citations Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations 2024 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning 2 citations Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach 2023 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning 11 citations 3 results References 0