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Found 18 papers, 6 papers with code
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
We introduce the first audio-visual dataset for traffic anomaly detection taken from real-world scenes, called MAVAD, with a diverse range of weather and illumination conditions.
KENGIC: KEyword-driven and N-Gram Graph based Image Captioning
To analyse the use and choice of keywords in context of this approach, this study analysed the generation of image captions based on (a) keywords extracted from gold standard captions and (b) from automatically detected keywords.
Face2Text revisited: Improved data set and baseline results
To encourage the development of more human-focused descriptions, we developed a new data set of facial descriptions based on the CelebA image data set.
Automated segmentation of microtomography imaging of Egyptian mummies
Propagation Phase Contrast Synchrotron Microtomography (PPC-SR${\mu}$CT) is the gold standard for non-invasive and non-destructive access to internal structures of archaeological remains.
Predicting Relative Depth between Objects from Semantic Features
The problem is casted as a classification one and geometrical features based on object bounding boxes, object labels and scene attributes are computed and used as inputs to pattern recognition models to predict relative depth.
One vs Previous and Similar Classes Learning -- A Comparative Study
When dealing with multi-class classification problems, it is common practice to build a model consisting of a series of binary classifiers using a learning paradigm which dictates how the classifiers are built and combined to discriminate between the individual classes.
VJAGG -- A Thick-Client Smart-Phone Journey Detection Algorithm
In this paper we describe $Vja\dot{g}\dot{g}$, a battery-aware journey detection algorithm that executes on the mobile device.
Optimising the Input Image to Improve Visual Relationship Detection
Visual Relationship Detection is defined as, given an image composed of a subject and an object, the correct relation is predicted.
SpatialVOC2K: A Multilingual Dataset of Images with Annotations and Features for Spatial Relations between Objects
The dataset incorporates (i) the labelled object bounding boxes from VOC2008, (ii) geometrical, language and depth features for each object, and (iii) for each pair of objects in both orders, (a) the single best preposition and (b) the set of possible prepositions in the given language that describe the spatial relationship between the two objects.
Pre-gen metrics: Predicting caption quality metrics without generating captions
Image caption generation systems are typically evaluated against reference outputs.
Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions
To gain a better understanding of the variation we find in face description and the possible issues that this may raise, we also conducted an annotation study on a subset of the corpus.
The Use of Object Labels and Spatial Prepositions as Keywords in a Web-Retrieval-Based Image Caption Generation System
On the other hand, images with two image objects were better described with template-generated sentences composed of object labels and prepositions.
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities.
