Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …

Abstract Universal Image Segmentation is not a new concept. Past attempts to unify image
segmentation include scene parsing, panoptic segmentation, and, more recently, new …

Humans are able to recognize structured relations in observation, allowing us to decompose
complex scenes into simpler parts and abstract the visual world in multiple levels. However …

The recently introduced panoptic segmentation task has renewed our community's interest
in unifying the tasks of instance segmentation (for thing classes) and semantic segmentation …

Spatial pyramid pooling module or encode-decoder structure are used in deep neural
networks for semantic segmentation task. The former networks are able to encode multi …

We propose and study a task we name panoptic segmentation (PS). Panoptic segmentation
unifies the typically distinct tasks of semantic segmentation (assign a class label to each …

How do humans recognize the action" opening a book"? We argue that there are two
important cues: modeling temporal shape dynamics and modeling functional relationships …

In this paper, we propose a unified panoptic segmentation network (UPSNet) for tackling the
newly proposed panoptic segmentation task. On top of a single backbone residual network …

The design of neural network architectures is an important component for achieving state-of-
the-art performance with machine learning systems across a broad array of tasks. Much …