429 citations · 880 across the 60 of their papers we have counts for
5 papers · 1 filter
Interactive Full Image Segmentation by Considering All Regions Jointly
Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari
We address interactive full image annotation, where the goal is to accurately segment all object and stuff regions in an image. We propose an interactive, scribble-based annotation…
Fast Object Class Labelling via Speech
Michael Gygli, Vittorio Ferrari
Object class labelling is the task of annotating images with labels on the presence or absence of objects from a given class vocabulary. Simply asking one yes/no question per class…
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom, Neil Alldrin +9
We present Open Images V4, a dataset of 9.2M images with unified annotations for image classification, object detection and visual relationship detection. The images have a Creativ…
Detecting Visual Relationships Using Box Attention
Alexander Kolesnikov, Alina Kuznetsova, Christoph H. Lampert +1
We propose a new model for detecting visual relationships, such as "person riding motorcycle" or "bottle on table". This task is an important step towards comprehensive structured…
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation
Mykhaylo Andriluka, Jasper R. R. Uijlings, Vittorio Ferrari
We introduce Fluid Annotation, an intuitive human-machine collaboration interface for annotating the class label and outline of every object and background region in an image. Flui…