Depiction Invariant Object Recognition
1 papers with code • 1 benchmarks • 0 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 )
Benchmarks
These leaderboards are used to track progress in Depiction Invariant Object Recognition
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Most implemented papers
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition
Current state of the art object recognition architectures achieve impressive performance but are typically specialized for a single depictive style (e. g. photos only, sketches only).
