Fig 6 - uploaded by Adam Kortylewski
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Context segmentation results. A standard CompositionalNet learns a joint representation of the image including the context. Our context-aware CompositionalNet will separate the representation of the context from that of the object based on the illustrated segmentation masks.
Source publication
Computer vision systems in real-world applications need to be robust to partial occlusion while also being explainable. In this work, we show that black-box deep convolutional neural networks (DCNNs) have only limited robustness to partial occlusion. We overcome these limitations by unifying DCNNs with part-based models into Compositional Convoluti...
Contexts in source publication
Context 1
... Q}. We apply a threshold on the cosine similarity s(C, f i ) = max q [(C T q f i )/(C q f i )] to segment the context and the object in any given training image (Fig- ure 6). ...
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