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Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing
However, deep learning models are not fully capable of exploiting visual and contextual information simultaneously.
Deep Learning Model with GA based Feature Selection and Context Integration
The empirical analysis reveals that optimized visual features with global and local contextual information play a significant role to improve accuracy and produce stable predictions comparable to state-of-the-art deep CNN models.
Multipath CNN with alpha matte inference for knee tissue segmentation from MRI
A novel multipath CNN-based method is proposed, which consists of an encoder decoder-based segmentation network in combination with a low rank tensor-reconstructed segmentation network.
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