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 …
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 …
A systematic literature review of deep learning approaches for sketch-based image retrieval: datasets, metrics, and future directions
Sketch-based image retrieval (SBIR) utilizes sketches to search for images containing
similar objects or scenes. Due to the proliferation of touch-screen devices, sketching has …
similar objects or scenes. Due to the proliferation of touch-screen devices, sketching has …
Participation-contributed temporal dynamic model for group activity recognition
Group activity recognition, a challenging task that a number of individuals occur in the scene
of activity while only a small subset of them participate in, has received increasing attentions …
of activity while only a small subset of them participate in, has received increasing attentions …
Sketchgan: Joint sketch completion and recognition with generative adversarial network
Hand-drawn sketch recognition is a fundamental problem in computer vision, widely used in
sketch-based image and video retrieval, editing, and reorganization. Previous methods often …
sketch-based image and video retrieval, editing, and reorganization. Previous methods often …
Scene sketch semantic segmentation with hierarchical Transformer
J Yang, A Ke, Y Yu, B Cai - Knowledge-Based Systems, 2023 - Elsevier
Abstract Convolutional Neural Networks (CNNs) have always been the dominant method for
scene sketch semantic segmentation, but their performance seems to have plateaued due to …
scene sketch semantic segmentation, but their performance seems to have plateaued due to …
A hybrid convolutional neural network for sketch recognition
With the popularity of touch-screen devices, it is becoming increasingly important to
understand users' free-hand sketches in computer vision and human-computer interaction …
understand users' free-hand sketches in computer vision and human-computer interaction …
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition
With the recent surge in the use of touchscreen devices, free-hand sketching has emerged
as a promising modality for human-computer interaction. While previous research has …
as a promising modality for human-computer interaction. While previous research has …
Multistage spatio-temporal networks for robust sketch recognition
Sketch recognition relies on two types of information, namely, spatial contexts like the local
structures in images and temporal contexts like the orders of strokes. Existing methods …
structures in images and temporal contexts like the orders of strokes. Existing methods …
2D freehand sketch labeling using CNN and CRF
Accurate and fast sketch segmentation and labeling is a hard task, since sketches have
much fewer features than natural images. This paper proposes a novel hybrid approach for …
much fewer features than natural images. This paper proposes a novel hybrid approach for …