Deep learning for image colorization: Current and future prospects
Image colorization, as an essential problem in computer vision (CV), has attracted an
increasing amount of researchers attention in recent years, especially deep learning-based …
increasing amount of researchers attention in recent years, especially deep learning-based …
Deep learning for studying drawing behavior: A review
In recent years, computer science has made major advances in understanding drawing
behavior. Artificial intelligence, and more precisely deep learning, has displayed …
behavior. Artificial intelligence, and more precisely deep learning, has displayed …
What a mess: Multi-domain evaluation of zero-shot semantic segmentation
While semantic segmentation has seen tremendous improvements in the past, there are still
significant labeling efforts necessary and the problem of limited generalization to classes …
significant labeling efforts necessary and the problem of limited generalization to classes …
Sketch2Saliency: learning to detect salient objects from human drawings
Human sketch has already proved its worth in various visual understanding tasks (eg,
retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of …
retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of …
Fs-coco: Towards understanding of freehand sketches of common objects in context
We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-
COCO. With practical applications in mind, we collect sketches that convey scene content …
COCO. With practical applications in mind, we collect sketches that convey scene content …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Sketching is a powerful tool for creating abstract images that are sparse but meaningful.
Sketch understanding poses fundamental challenges for general-purpose vision algorithms …
Sketch understanding poses fundamental challenges for general-purpose vision algorithms …
What Sketch Explainability Really Means for Downstream Tasks?
In this paper we explore the unique modality of sketch for explainability emphasising the
profound impact of human strokes compared to conventional pixel-oriented studies. Beyond …
profound impact of human strokes compared to conventional pixel-oriented studies. Beyond …
[PDF][PDF] OpenSketch: a richly-annotated dataset of product design sketches.
Product designers extensively use sketching to reason and communicate about 3D shapes,
as documented in popular design sketching textbooks [Eissen and Steur 2008, 2011; Pipes …
as documented in popular design sketching textbooks [Eissen and Steur 2008, 2011; Pipes …
Partially does it: Towards scene-level fg-sbir with partial input
We scrutinise an important observation plaguing scene-level sketch research--that a
significant portion of scene sketches are" partial". A quick pilot study reveals:(i) a scene …
significant portion of scene sketches are" partial". A quick pilot study reveals:(i) a scene …