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Found 5 papers, 1 papers with code
Shifted Autoencoders for Point Annotation Restoration in Object Counting
Object counting typically uses 2D point annotations.
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation
In this paper, we propose novel dual structure-aware image filterings (DSAIF) as the image-level variations for semi-supervised medical image segmentation.
Generalization Bounds for Neural Belief Propagation Decoders
We present new theoretical results which bound this gap and show the dependence on the decoder complexity, in terms of code parameters (blocklength, message length, variable/check node degrees), decoding iterations, and the training dataset size.
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation
Yet, most existing hard pixel mining strategies for semantic segmentation often rely on pixel's loss value, which tends to decrease during training.
FAID Diversity via Neural Networks
Decoder diversity is a powerful error correction framework in which a collection of decoders collaboratively correct a set of error patterns otherwise uncorrectable by any individual decoder.
