SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition

29 Jul 2016Ravi Kiran SarvadevabhatlaShiv SuryaSrinivas S S KruthiventiVenkatesh Babu R

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). In this paper, we present SwiDeN : our Convolutional Neural Network (CNN) architecture which recognizes objects regardless of how they are visually depicted (line drawing, realistic shaded drawing, photograph etc.)... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Depiction Invariant Object Recognition Photo-Art-50 SwiDeN Overall Accuracy 93.02% # 1