Understanding human-side impact of sampling image batches in subjective attribute labeling
Capturing human annotators' subjective responses in image annotation has become crucial
as vision-based classifiers expand the range of application areas. While there has been …
as vision-based classifiers expand the range of application areas. While there has been …
Weakly-supervised video scene co-parsing
In this paper, we propose a scene co-parsing framework to assign pixel-wise semantic
labels in weakly-labeled videos, ie, only video-level category labels are given. To exploit …
labels in weakly-labeled videos, ie, only video-level category labels are given. To exploit …
Automatic non-parametric image parsing via hierarchical semantic voting based on sparse–dense reconstruction and spatial–contextual cues
X An, S Li, H Qin, A Hao - Neurocomputing, 2016 - Elsevier
Image parsing is vital for many high-level image understanding tasks. Although both
parametric and non-parametric approaches have achieved remarkable success, many …
parametric and non-parametric approaches have achieved remarkable success, many …
Incremental classification of objects in scenes: Application to the delineation of images
Usual multi-class classification techniques often rely on the availability of all relevant
features. In practice, however, this requirement restricts the type of features that can be …
features. In practice, however, this requirement restricts the type of features that can be …
Smartphone-based object recognition application for educational engagement
HM Fadhil, A Muayad, S Majid, MMJ Husain - 2023 - IET
Computers and mobile phones are common today and play an important role in society for
children and adults, providing many opportunities and advantages. This new application is …
children and adults, providing many opportunities and advantages. This new application is …
Unsupervised multi-class co-segmentation via joint object detection and segmentation with energy minimization
L Li, X Fei, Z Dong, D Zhang - MIPPR 2015: Automatic Target …, 2015 - spiedigitallibrary.org
Multi-class co-segmentation is a challenging task because of the variety and complexity of
the objects and images. To get more accurate object proposals is the key step for the …
the objects and images. To get more accurate object proposals is the key step for the …
[PDF][PDF] Robust Image Labeling Using Conditional Random Fields
MN Arani - PhD diss., Ryerson University, 2017 - rshare.library.torontomu.ca
Object recognition has become a central topic in computer vision applications such as
image search, robotics and vehicle safety systems. However, it is a challenging task due to …
image search, robotics and vehicle safety systems. However, it is a challenging task due to …