ServiceNow Research

Weak Supervision

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation
Semantic segmentation is a popular task that has piqued the interest of many industries and research communities. However, acquiring …
Weakly Supervised Underwater Fish Segmentation Using Affinity LCFCN
Estimating fish body measurements like length, width, and mass has received considerable research due to its potential in boosting …
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Coronavirus Disease 2019 (COVID-19) has spread aggressively across the world causing an existential health crisis. Thus, having a …
LOOC: Localize Overlapping Objects with Count Supervision
Acquiring count annotations generally requires less human effort than point-level and bounding box annotations. Thus, we propose the …
Proposal-based Instance Segmentation with Point Supervision
Instance segmentation methods often require costly per-pixel labels. We propose a method called WISE-Net that only requires point-level …
Where are the Masks: Instance Segmentation with Image-level Supervision
A major obstacle in instance segmentation is that existing methods often need many per-pixel labels in order to be effective. These …
Where are the Blobs: Counting by Localization with Point Supervision
Object counting is an important task in computer vision due to its growing demand in applications such as surveillance, traffic …