| Full text | |
| Author(s): |
Gama, Pedro Henrique Targino
;
Oliveira, Hugo
;
dos Santos, Jefersson A.
;
Cesar Jr, Roberto M.
Total Authors: 4
|
| Document type: | Journal article |
| Source: | COMPUTERS & GRAPHICS-UK; v. 113, p. 12-pg., 2023-05-28. |
| Abstract | |
Semantic segmentation is a difficult task in computer vision that have applications in many scenarios, often as a preprocessing step for a tool. Current solutions are based on Deep Neural Networks, which often require a large amount of data for learning a task. Aiming to alleviate the strenuous data-collecting/annotating labor, research fields have emerged in recent years. One of them is Meta -Learning, which tries to improve the generability of models to learn in a restricted amount of data. In this work, we extend a previous paper conducting a more extensive overview of the still under -explored problem of Few-Shot Weakly-supervised Semantic Segmentation. We refined the previous taxonomy and included the review of additional methods, including Few-Shot Segmentation methods that could be adapted to the weak supervision. The goal is to provide a simple organization of literature and highlight aspects observed in the current moment, and be a starting point to foment research on this problem with applications in areas like medical imaging, remote sensing, video segmentation, and others.& COPY; 2023 Elsevier Ltd. All rights reserved. (AU) | |
| FAPESP's process: | 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 17/50236-1 - Spatio temporal analysis of pediatric magnetic resonance images |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 20/06744-5 - Deep learning and intermediate representations for pediatric image analysis |
| Grantee: | Hugo Neves de Oliveira |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |