Your English writing platform
Discover LudwigExact(21)
And a kernel SVM is employed for calculating the scene categories.
Scene recognition involves complex reasoning from low-level local features to high-level scene categories.
This dataset holds 15,620 images of 67 indoor scene categories [91].
In the scene level, we use a feature-based MRF model to recognize the scene categories.
Scene 15 dataset contains 4485 images of 15 scene categories [5].
In [3], a hierarchical probabilistic model was proposed for detecting key sound effects and audio scene categories.
Similar(39)
The authors employed a SVM using the one-versus-all rule to perform the recognition of the scene category.
One of the most complete scene category dataset at basic level of description was exploited by Lazebnik et al. [10].
Going beyond a single object, consider a collection of images of a particular scene category containing multiple (recurring) objects.
Recent studies suggested that humans rely on local information as much as on global information to recognize the scene category.
Fortunately, this ambiguity appears in the form of scene category co-occurrences which can be modeled a posteriori with a classifier.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com