August 08, 2017 preprint Open access Semantic Instance Segmentation with a Discriminative Loss Function arXiv (Cornell University) DOI: 10.48550/arxiv.1708.02551 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 438 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 Single-Shot Panoptic Segmentation 2020 conference-paper Computer Science Advanced Neural Network Applications Open access cited by 3 patents 22 citations 3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) conference-paper Engineering 3D Shape Modeling and Analysis Open access cited by 4 patents 237 citations Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints 2020 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access 0 citations STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos 2020 Lecture notes in computer science conference-paper Computer Science Video Surveillance and Tracking Methods Open access cited by 5 patents 159 citations Improving Pixel Embedding Learning Through Intermediate Distance Regression Supervision for Instance Segmentation 2020 Lecture notes in computer science conference-paper Computer Science Advanced Neural Network Applications Open access 8 citations 5 results References 0