computer-vision
Depiction Invariant Object Recognition
3260 papers • 126 benchmarks • 313 datasets
Depiction invariant object recognition is the task of recognising objects irrespective of how they are visually depicted (line drawing, realistic shaded drawing, photograph etc.). ( Image credit: SwiDeN )
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in depiction-invariant-object-recognition
Trend
Dataset
Best Model
Actions
Photo-Art-50
Photo-Art-50
Libraries
iUse these libraries to find depiction-invariant-object-recognition models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
Most implemented papers
SwiDeN: Convolutional Neural Networks For Depiction Invariant Object Recognition
Ravi Kiran Sarvadevabhatla, S. Kruthiventi, R. Venkatesh Babu, Shiv Surya•Thu Jul 28 2016
In SwiDeN, a novel `deep' depictive style-based switching mechanism is utilized which appropriately addresses the depiction-specific and depiction-invariant aspects of the problem.
7