Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion.
Adam KortylewskiQing LiuAngtian WangYihong SunAlan L. YuillePublished in: CoRR (2020)
Keyphrases
- object recognition
- high level
- model construction
- experimental data
- probabilistic model
- management system
- parameter estimation
- cost function
- artificial neural networks
- data sets
- image features
- theoretical analysis
- multiscale
- computational model
- mathematical model
- statistical model
- computer vision
- illumination variations
- neural network