Semantic Segmentation
Semantic segmentation is a popular task that has piqued the interest of many industries and research communities. However, acquiring …
Rationale and objectives: Hard data labels for automated algorithm training are binary and cannot incorporate uncertainty between …
Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use …
Estimating fish body measurements like length, width, and mass has received considerable research due to its potential in boosting …
Coronavirus Disease 2019 (COVID-19) has spread aggressively across the world causing an existential health crisis. Thus, having a …
Learning-based approaches for semantic segmentation have two inherent challenges. First, acquiring pixel-wise labels is expensive and …
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental …
We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time. CBS achieves …
Deep learning has thrived by training on large-scale datasets. However, in robotics applications sample efficiency is critical. We …
We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time. CBS achieves …