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Found 3 papers, 1 papers with code
Shift Variance in Scene Text Detection
Theory of convolutional neural networks suggests the property of shift equivariance, i. e., that a shifted input causes an equally shifted output.
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation
Semantic amodal segmentation is a recently proposed extension to instance-aware segmentation that includes the prediction of the invisible region of each object instance.
MVTec D2S: Densely Segmented Supermarket Dataset
The dataset covers several challenges highly relevant in the field, such as a limited amount of training data and a high diversity in the test and validation sets.
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